Publications

Your Eyes Under Pressure Real-Time Estimation of Cognitive Load with Smooth Pursuit Tracking
Understanding and accurately estimating cognitive workload is crucial for the development of adaptive, user-centered interactive …
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Use of Wearable Sensors to Assess Fall Risk in Neurological Disorders Systematic Review
Assessing fall risk, especially in individuals with neurological disorders, is essential to prevent hospitalization, hypomobility, and …
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Unlocking Advanced Graph Machine Learning Insights through Knowledge Completion on Neo4j Graph Database
Graph Machine Learning (GML) with Graph Databases (GDBs) has gained significant relevance in recent years, due to its ability to handle …
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Towards Enabling IoT Rejuvenation Through Machine Learning on Cloud/Edge Continuum A Study to Fight the Proximity Sensor Ageing on the Edge
The Internet of Things (IoT) is increasingly adopted across various domains. However, these sensors are prone to ageing, which can lead …
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The Potential Effects of Sensor-Based Virtual Reality Telerehabilitation on Lower Limb Function in Patients with Chronic Stroke Facing the COVID-19 Pandemic A Retrospective Case-Control Study
Background/Objectives Individuals with chronic stroke often experience various impairments, including poor balance, reduced mobility, …
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The impact of biofeedback in enhancing chronic pain rehabilitation A systematic review of mechanisms and outcomes
Chronic pain (CP), affecting approximately 20 % of adults globally, imposes a profound burden on individuals and healthcare systems. …
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Temporally-Aware Diffusion Model for Brain Progression Modelling with Bidirectional Temporal Regularisation
Generating realistic MRIs to accurately predict future changes in the structure of brain is an invaluable tool for clinicians in …
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Security and privacy concerns in Federated Learning systems a systematic review
Federated Learning is a Machine Learning solution that trains a global model by aggregating weights from different peers. Federated …
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Remapping Body Representation Using Virtual Reality in Chronic Neuropathic Pain Systematic Review
Chronic neuropathic pain (CNP) is a common consequence of neurological conditions such as spinal cord injury (SCI), complex regional …
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Neural control meets biomechanics in the motor assessment of neurological disorders a narrative review
The emerging concept of ’neurobiomechanics’ embodies an integrative approach, bringing together insights from functional …
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Improving Graph Embeddings in Machine Learning Using Knowledge Completion with Validation in a Case Study on COVID-19 Spread
The rise of graph-structured data has driven major advances in Graph Machine Learning (GML), where graph embeddings (GEs) map features …
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Deep Learning Experimental Design for Quantitative Parameter Mapping
Approach We utilise TADRED (TAsk-DRiven Experiment Design) to simultaneously train two networks one to optimise the acquisition …
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Data Fusion in Tele-Rehabilitation Combining Cognitive and Motor Datasets to Train a Machine Learning Model for Assessing Patients' Outcomes
This study explores the application of data fusion (DF) in tele-rehabilitation (TR). The idea is to combine the patient’s …
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Complex networks for Smart environments management
Complex networks for Smart environments management | Journal of Network and Computer Applications skip to main content ACM Digital …
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CoCoLIT ControlNet-Conditioned Latent Image Translation for MRI to Amyloid PET Synthesis
Synthesizing amyloid PET scans from the more widely available and accessible structural MRI modality offers a promising, cost-effective …
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Can artificial intelligence improve the diagnosis and prognosis of disorders of consciousness? A scoping review
Artificial intelligence (AI), in the form of machine learning (ML) or deep learning (DL) models, can aid clinicians in the diagnostic …
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Brain Latent Progression Individual-based spatiotemporal disease progression on 3D Brain MRIs via latent diffusion
The growing availability of longitudinal Magnetic Resonance Imaging (MRI) datasets has facilitated Artificial Intelligence (AI)-driven …
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Bi-View Embedding Fusion A Hybrid Learning Approach for Knowledge Graph's Nodes Classification Addressing Problems with Limited Data
Traditional Machine Learning (ML) methods require large amounts of data to perform well, limiting their applicability in sparse or …
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Beyond clinical scales an observational study on instrumental gait analysis and biomechanical patterns in patients with Parkinson’s disease
Parkinson’s disease (PD), a common neurodegenerative disorder affecting motor functions, is associated with abnormal gait patterns …
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Assistive Technologies for Individuals with a Disability from a Neurological Condition A Narrative Review on the Multimodal Integration
Background/Objectives Neurological disorders often result in a broad spectrum of disabilities that impact mobility, communication, …
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A technical assessment of latent diffusion for Alzheimer's disease progression
Latent Diffusion Models (LDMs) introduce exciting opportunities in medical imaging, from disease progression prediction to …
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A Novel Metric for Detecting Memorization in Generative Models for Brain MRI Synthesis
Deep generative models have emerged as a transformative tool in medical imaging, offering substantial potential for synthetic data …
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A Bio-inspired Leader-Based Energy Management System for Drone Fleets
Drones are embedded systems used across a wide range of fields, however, their limited battery life and high energy consumption are …
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Towards transforming neurorehabilitation the impact of artificial intelligence on diagnosis and treatment of neurological disorders
Background and Objectives Neurological disorders like stroke, spinal cord injury (SCI), and Parkinson’s disease (PD) significantly …
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The Use of head-mounted display systems for upper limb kinematic analysis in post-stroke patients A perspective review on benefits, challenges and other solutions
In recent years, there has been a notable increase in the clinical adoption of instrumental upper limb kinematic assessment. This trend …
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The Neurophysiological Impact of Touch-Based Therapy Insights and Clinical Benefits
The evidence on how touch-based therapy acts on the brain activity opens novel cues for the treatment of chronic pain conditions for …
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The effects of osteopathic manipulative treatment on brain activity a scoping review of MRI and EEG studies
Osteopathic manipulative treatment (OMT) is a hands-on therapy aiming to achieve the global homeostasis of the patient. OMT focuses on …
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The computing continuum From IoT to the cloud
In the era of the IoT revolution, applications are becoming ever more sophisticated and accompanied by diverse functional and …
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Tadm Temporally-aware diffusion model for neurodegenerative progression on brain mri
Generating realistic images to accurately predict changes in the structure of brain MRI can be a crucial tool for clinicians. Such …
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SynthBA Reliable Brain Age Estimation Across Multiple MRI Sequences and Resolutions
Brain age is a critical measure that reflects the biological ageing process of the brain. The gap between brain age and chronological …
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Special Issue “Artificial Intelligence in Complex Networks”
Artificial intelligence (AI) in complex networks has made revolutionary breakthroughs in this century, and AI-driven methods are being …
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Smartphone-Based Cognitive Telerehabilitation A Usability and Feasibility Study Focusing on Mild Cognitive Impairment
The implementation of cognitive health apps in patients with mild cognitive impairment (MCI) is challenging because of their cognitive, …
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Psycho-neuroendocrinology in the rehabilitation field focus on the complex interplay between stress and pain
Chronic stress and chronic pain share neuro-anatomical, endocrinological, and biological features. However, stress prepares the body …
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Paired associative stimulation to enhance motor outcome in spinal cord injury a systematic review of first evidence
Spinal cord injuries (SCI) often result in motor impairment and lifelong disability.This systematic review, conducted in agreement with …
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Might patients with cerebellar ataxia benefit from the computer assisted rehabilitation ENvironment (CAREN)? A pilot study focusing on gait and balance
Introduction Ataxia is a neurological symptom that causes decreased balance, loss of coordination, and gait alterations. Innovative …
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Leveraging Audio Biomarkers for Enriching the Tele-Monitoring of Patients
Remote patient monitoring is a form of telehealth that allows medical centres to monitor and manage their patients’ chronic conditions. …
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Is virtual reality orientation therapy useful to optimize cognitive and behavioral functioning following severe acquired brain injury? An exploratory study
Introduction Severe acquired brain injury (SABI) is a leading cause of death and disability, and it is defined as a brain injury that …
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Intent-Based Pseudonymization for Healthcare Workflows on Intra-Hospital Data Space Domain
Hospitals suffer from implementing Data Spaces due to the risks related to data security aspects. To ensure patients’ data …
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Intelligent resource allocation in wireless networks Predictive models for efficient access point management
With the significant increase in mobile users connected to the wireless network, coupled with the escalating energy consumption and the …
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Industrial Machines Health Prognosis Using a Transformer-Based Framework
This article introduces Transformer Quantile Re-gression Neural Networks (TQRNNs), a novel data-driven solution for real-time machine …
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Improving outcomes in people with spinal cord injury Encouraging results from a multidisciplinary advanced rehabilitation pathway
Spinal cord injury (SCI) consists of damage to any segment of the spinal cord extending to potential harm to nerves in the cauda …
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Improving neuroplasticity through robotic Verticalization training in patients with minimally conscious state a retrospective study
In disorders of consciousness, verticalization is considered an effective type of treatment to improve motor and cognitive recovery. …
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Improving manual dexterity using ergonomic wearable glove in patients with multiple sclerosis A quasi-randomized clinical trial
One main problem faced by people with multiple sclerosis (PwMS) is upper limb dysfunction, which can occur in the first decade of the …
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Immersive Experiences in the Metaverse to Contrast Drunk Driving
This paper proposes a new solution for promoting safe driving and reducing accidents caused by drunk drivers. The scientific innovation …
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Federated Learning Shaping the Future of Smart City Infrastructure
In an age of urbanization and technology, smart cities may address urban problems. Smart city infrastructure incorporates advanced …
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Exploring ChatGPT’s potential in the clinical stream of neurorehabilitation
In several medical fields, generative AI tools such as ChatGPT have achieved optimal performance in identifying correct diagnoses only …
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Enhancing spatiotemporal disease progression models via latent diffusion and prior knowledge
In this work, we introduce Brain Latent Progression (BrLP), a novel spatiotemporal disease progression model based on latent diffusion. …
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Efficient Atrophy Mapping A Single-Step U-Net Approach for Rapid Brain Change Estimation
The estimation of brain atrophy is crucial for eval-uating brain diseases and analyzing neurodegeneration. Existing methods for …
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Efficacy of sensor-based training using exergaming or virtual reality in patients with chronic low back pain a systematic review
In its chronic and non-specific form, low back pain is experienced by a large percentage of the population; its persistence impacts the …
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Effects of virtual rehabilitation training on post-stroke executive and praxis skills and depression symptoms a quasi-randomised clinical trial
Introduction Apraxia is a neurological disorder that is common after a stroke and impairs the planning and execution of movements. In …
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Distributed Services for Pavement Anomaly Detection in Smart Roads
Digital transition is characterizing all the components of our world. Considering transport infrastructures, for maximizing safety and …
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Design and Analysis of a MATSim Scenario from Open Data The Case of Messina
In the last few years, our cities become more and more crowded due to the increasing number of cars and old city planes. Small cities …
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Criminal Network Construction and Analysis from Italian Civil Cases A Case Study
Criminal networks are complex systems that exploit social connections among their members. Analyzing these networks presents …
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Coupling neurologic music therapy with immersive virtual reality to improve executive functions in individuals with Parkinson’s disease a Quasi-Randomized Clinical Trial
IntroductionParkinson’s disease (PD) is one the most common neurodegenerative movement disorder, leading to motor and non-motor …
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Content-based Obfuscation for Structured Documents using Secret Sharing at the Edge
This work proposes a content-based approach for structured document obfuscation, which is based on Secret Share techniques implemented …
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Complex Network Analysis as a Tool for Road Maintenance Management
“Smart Roads” represent innovative and integrated systems that evolve the physical road infrastructure by leveraging several sensors …
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Compassion Fatigue in a Cohort of South Italian Nurses and Hospital-Based Clinical Social Workers Following COVID-19 A Cross-Sectional Survey
Background/Objective The COVID-19 pandemic has led to a significant increase in the workloads of healthcare workers (HCWs). The fear …
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Comparing CNNs and ViTs for Medical Image Classification Leveraging Transfer Learning
In recent years, significant progress has been achieved in medical image analysis, mainly due to the substantial advances in deep …
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Comparing CNN and ViT in both Centralised and Federated Learning Scenarios a Pneumonia Diagnosis Case Study
In the last few years, the healthcare industry has seen significant advances in medical image analysis, mainly driven by the …
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Cognitive effects of transcranial direct current stimulation plus robotic verticalization in minimally conscious state
Background and Objectives Transcranial direct current stimulation (tDCS) is a non-invasive therapeutic method that modulates cortical …
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Can robotic gait training with end effectors improve lower-limb functions in patients affected by multiple sclerosis? Results from a retrospective case–control study
Background Multiple sclerosis (MS) is characterized as a neurodegenerative condition possibly triggered by autoimmune mechanisms, …
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An efficient semi-supervised quality control system trained using physics-based MRI-artefact generators and adversarial training
Large medical imaging data sets are becoming increasingly available. A common challenge in these data sets is to ensure that each …
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Advances in the neuro-rehabilitation of Parkinson’s disease insights from a personalized multidisciplinary innovative pathway
Background/Objectives Parkinson’s disease (PD) is a progressive neurodegenerative disorder that requires comprehensive and …
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Adaptive Evolutionary Computing Ensemble Learning Model for Sentiment Analysis
Standard machine learning and deep learning architectures have been widely used in the field of sentiment analysis, but their …
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A Comparative Analysis of Deep Learning Approaches for Road Anomaly Detection
Monitoring road pavement conditions is vital to prevent harm or accidents to vehicles and people, and it is a crucial governmental …
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Univariate Exploratory Data Analysis of Satellite Telemetry
Large Low Earth Orbit satellite constellations require Machine Learning methods for enabling autonomy in health keeping of the …
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Treadmill training plus semi-immersive virtual reality in Parkinson’s disease results from a pilot study
Parkinson’s disease (PD) is one of the most common neurodegenerative disorders that causes postural instability and gait alterations, …
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Toward the Edge-Cloud Continuum Through the Serverless Workflows
Cloud-edge continuum is a recently recreated term used to refer to solutions that aim at taking advantage of a distributed cloud-edge …
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The tele-rehabilitaion as a service (traas) project Rationale, study design, and methodology
Tele-rehabilitation has recently emerged as an effective solution for providing assisted living, increasing clinical outcomes, …
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Tema Event driven serverless workflows platform for natural disaster management
TEMA project is a Horizon Europe funded project that aims at addressing Natural Disaster Management by the use of sophisticated …
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Supporting the Natural Disaster Management Distributing Federated Intelligence over the Cloud-Edge Continuum the TEMA Architecture
Natural disasters are more and more often present in our daily life. Many are the cases where these events affect people and economies. …
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Special Issue “Advances in Machine and Deep Learning in the Health Domain”
Machine and deep learning techniques are fuelling a revolution in the health domain and are attracting the interest of many …
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Sexual dysfunctions in females with Parkinson’s disease a cross-sectional study with a psycho-endocrinological perspective
Background and Objectives Normal human sexual functioning is a complex integration of an intact neuroanatomic substrate, vascular …
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Security analysis of digitized substations A systematic review of GOOSE messages
Internet of Energy (IoE) is one of the important concepts for facilitating technological, economic, and social development, helping …
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Securing serverless workflows on the cloud edge continuum
Serverless Computing is an emergent solution that helps deploy applications in the Cloud and sometimes on the Edge, reducing the …
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Secure-by-design serverless workflows on the Edge–Cloud Continuum through the Osmotic Computing paradigm
Nowadays, many Cloud companies adopt serverless computation based on the Function as a Service (FaaS) paradigm. Such an approach, built …
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Secure and energy efficient filtered over-the-air Internet of Things setup in a wireless mesh network for firmware freshness
Internet of Things (IoT) became more and more popular because of the raise of ubiquitous internet connected devices. In this regard, …
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Robot-aided motion analysis in neurorehabilitation Benefits and challenges
In the neurorehabilitation field, robot-aided motion analysis (R-AMA) could be helpful for two main reasons (1) it allows the …
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Rehabilitation of Gait and Balance in Cerebral Palsy a scoping review on the Use of Robotics with Biomechanical implications
Cerebral palsy (CP) is a congenital and permanent neurological disorder due to non-progressive brain damage that affects gross motor …
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Psycho-Emotional Well-Being in Caregivers of People with Acquired Brain Injury An Exploratory Study on the Human Immersion Model during the Omicron Wave
The purpose of this study was to investigate the effects of a “human immersion model” (HIM) in improving psychological well-being in …
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Prospettive sull'utilizzo dello' smart contract' a supporto della continuità territoriale per la prenotazione dinamica di viaggi
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Post-traumatic olfactory dysfunction a scoping review of assessment and rehabilitation approaches
Post-traumatic Olfactory Dysfunction (PTOD) consists of a complete or partial loss of olfactory function that may occur after a …
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Orchestration of containerized applications in the Cloud continuum
Cloud Service orchestration is a hot topic addressed by both the academia and the business world. The increasing diversification of the …
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Novel strategies for road network disruption analysis
Road (or street) networks refer to interconnected systems of streets, roads, and pathways which constitute the transportation …
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Neuropsychological assessment in patients with traumatic brain injury A comprehensive review with clinical recommendations
Traumatic brain injury is damage to the brain occurring after birth, often resulting in the deterioration of cognitive, behavioural, …
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Neurophysiological and Psychometric Outcomes in Minimal Consciousness State after Advanced Audio–Video Emotional Stimulation A Retrospective Study
In the last ten years, technological innovations have led to the development of new, advanced sensory stimulation (SS) tools, such as …
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Mobile Computing, Applications, and Services
We are delighted to introduce the proceedings of the fourteenth edition of the European Alliance for Innovation (EAI) International …
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Large-scale agent-based transport model for the metropolitan city of Messina
Complex traffic dynamics can be modeled in real time through simulation models and methods which are attracting more and more research …
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It is time for a multidisciplinary rehabilitation approach a scoping review on stomatognathic diseases in neurological disorders
Patients affected by neurological disorders can develop stomatognathic diseases (SD) related to decreased bite force and quality of …
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Investigating the applicability of nested secret share for drone fleet photo storage
Military drones can be used for surveillance or spying on enemies. They, however, can be either destroyed or captured, therefore photos …
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Information fusion-based cybersecurity threat detection for intelligent transportation system
Intelligent Transportation Systems (ITS) are sophisticated systems that leverage various technologies to increase the safety, …
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Human and social capital strategies for Mafia network disruption
Social Network Analysis (SNA) is an interdisciplinary science that focuses on discovering the patterns of individuals interactions. In …
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Healthcare worker burnout during the first COVID-19 lockdown in Italy experiences from an intensive neurological rehabilitation unit
The study aim was to investigate the prevalence of behavioral symptoms and burnout in healthcare workers in an intensive neurological …
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Generalized defensive modeling of malware propagation in wsns using Atangana–Baleanu–Caputo (ABC) fractional derivative
The malware spreading in Wireless Sensor Network (WSN) has lately attracted the attention of many researchers as a hot problem in …
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Gateway-based certification approach to include iot nodes in a trusted edge/cloud environment
Nowadays, Internet of Things (IoT) devices are gaining more and more popularity in several fields including smart cities and home …
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Gait analysis in neurorehabilitation from research to clinical practice
When brain damage occurs, gait and balance are often impaired. Evaluation of the gait cycle, therefore, has a pivotal role during the …
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Establishment of a trusted environment for iot service provisioning based on x3dh-based brokering and federated blockchain
The adoption of non-certified Internet of Things (IoT) devices can expose the system to cyber attacks that can disrupt IoT-based …
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Enhancing Data Privacy in Federated Data Spaces Hierarchical Secret-Share based Pseudonymization
Sharing Data Spaces in federated ecosystems can bring several advantages to companies and administrations. However, data security, …
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Emotional artificial intelligence enabled facial expression recognition for tele-rehabilitation a preliminary study
Tele-rehabilitation has recently emerged as an effective approach for providing assisted living, increasing clinical outcomes, …
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Edge computing solutions supporting voice recognition services for speakers with dysarthria
In the framework of Automatic Speech Recognition (ASR), the synergism between edge computing and artificial intelligence has led to the …
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Docflow Supervised Multi-Method Document Anonymization Engine
Nowadays the process of anonymization of documents has been the subject of several studies and debates. By anonymization of documents, …
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Do individuals with spinal cord injury benefit from semi-immersive virtual reality cognitive training? Preliminary results from an exploratory study on an underestimated problem
A spinal cord injury (SCI) is damage to any part of the spinal cord, caused by traumatic or non-traumatic events. Clinically, SCI is …
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Digital Humanities and disability A systematic literature review of cultural accessibility for people with disability
In recent times, Digital Humanities (DH), together with the discoveries of Information and Communications Technology, have enabled the …
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DeepBrainPrint A Novel Contrastive Framework for Brain MRI Re-Identification
Recent advances in MRI have led to the creation of large datasets. With the increase in data volume, it has become difficult to locate …
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Decentralized model to protect digital evidence via smart contracts using layer 2 polygon blockchain
Modern legal proceedings heavily rely on digital evidence as a basis for decisions in a variety of contexts, including criminal …
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Darknet traffic detection and characterization with models based on decision trees and neural networks
The Darknet is a set of networks and technologies, having as fundamental principles anonymity and security. In many cases, they are …
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Controlling of fake information dissemination in online social networks an epidemiological approach
Due to the fast advancement of Internet technology, the popularity of Online Social Networks (OSN) over the Internet is increasing day …
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Cloud2Things 2023 3rd Workshop on From Cloud to Things harnessing pervasive data in the Computing Continuum-Welcome and Committees Message from Cloud2Things organizers Message from Cloud2Things organizers
Welcome to the 3rd Workshop on’ From Cloud to Things harnessing pervasive data in the Computing Continuum-(Cloud2Things)’, …
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Cloud-edge-client continuum Leveraging browsers as deployment nodes with virtual pods
Nowadays, thanks to the ever-increasing hardware capacity of Edge computing, the achievement of Ubiquitous Computing is no longer a …
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Can virtual reality cognitive rehabilitation improve executive functioning and coping strategies in traumatic brain injury? A pilot study
Executive dysfunction is among the most common and disabling facets of cognitive impairment following traumatic brain injury (TBI), and …
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Bridging the gap between Basic Research and Clinical Practice the growing role of Translational Neurorehabilitation
Translational neuroscience is intended as a holistic approach in the field of brain disorders, starting from the basic research of …
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Bone health status in individuals with amyotrophic lateral sclerosis a cross-sectional study on the role of the trabecular bone score and its implications in neurorehabilitation
Background and Objectives Osteoporosis is a metabolic skeletal disease resulting in low bone mass with increased bone fragility and …
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Beyond von neumann in the computing continuum Architectures, applications, and future directions
The article discusses emerging non-von Neumann computer architectures and their integration in the computing continuum for supporting …
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Benefits of telerehabilitation for patients with severe acquired brain injury promising results from a multicenter randomized controlled trial using nonimmersive virtual reality
In neurorehabilitation, the use of innovative technologies offers many opportunities to monitor and improve the health status of …
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Back to the future an appraisal of the role of osteopathic manipulative treatment in patients with neurological diseases
Osteopathic manipulative treatment (OMT) is a hands-on therapy that aims to promote homeostasis by individuating and treating somatic …
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An Optimized Blockchain-based Data Transmission System for Telemedicine
In the last year, the advent of new solutions and services in Information and Communication Technologies (ICT), has changed our …
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Adopting Machine Learning-Based Pose Estimation as Digital Biomarker in Motor Tele-Rehabilitation
Nowadays, tele-rehabilitation has emerged as an effective approach for providing assisted living, increasing clinical outcomes, …
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Tolerancer A fault tolerance approach for cloud manufacturing environments
The paper presents an approach to solve the software and hardware related failures in edge-cloud environments, more precisely, in cloud …
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The whole is greater than the sum of the parts A multilayer approach on criminal networks
Traditional social network analysis can be generalized to model some networked systems by multilayer structures where the individual …
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Social network analysis approaches to study crime
Social Network Analysis (SNA) studies groups of individuals and can be applied in a lot of areas such us organizational studies, …
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Scaling data analysis services in an edge-based federated learning environment
Federated Learning represents among the most important techniques used in recent years. It enables the training of Machine …
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Robotic verticalization plus music therapy in chronic disorders of consciousness Promising results from a pilot study
Background Music stimulation is considered a valuable form of intervention in disorders of consciousness (DoC); for instance, …
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Psychological and cognitive effects of long COVID a narrative review focusing on the assessment and rehabilitative approach
Long COVID is a clinical syndrome characterized by profound fatigue, neurocognitive difficulties, muscle pain, weakness, and …
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Openwolf Serverless workflow engine for ai on continuum
Serverless Computing and Function as a Service (FaaS) are emerging as prominent solutions for making simpler, faster and …
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Openwolf A serverless workflow engine for native cloud-edge continuum
Nowadays, Serverless computing is emerging as one of the most used Cloud services. In particular, the Function as Service (FaaS) is …
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Moving toward appropriate motor assessment tools in people affected by severe acquired brain injury a scoping review with clinical advices
Severe acquired brain injury (SABI) is among the leading causes of death and disability worldwide. Patients following SABI may develop …
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Is the “Family Glass Cabin” Useful to Safely Allow Inpatient–Caregiver Interaction in the COVID-19 Era? A Pilot Study on Severe Acquired Brain Injury
Acquired Brain Injury (ABI) is a life-changing event that can have a devastating impact on all aspects of a person’s functioning. …
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Innovative technologies in the neurorehabilitation of traumatic brain injury a systematic review
Motor and cognitive rehabilitation in individuals with traumatic brain injury (TBI) is a growing field of clinical and research …
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Improving the Key Exchange Process of the eXtended Triple Diffie-Hellman Protocol with Blockchain
The demand for safeguarding communications between people and equipment has been driven by recent breakthroughs in miniature smart data …
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Improvement of gait after robotic-assisted training in children with cerebral palsy are we heading in the right direction?
Cerebral palsy (CP) is a non-progressive congenital neurological disorder that affects different physical and cognitive functions in …
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Dynamic Community Discovery Method Based on Phylogenetic Planted Partition in Temporal Networks
As most of the community discovery methods are researched by static thought, some community discovery algorithms cannot represent the …
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Does non-immersive virtual reality improve attention processes in severe traumatic brain injury? Encouraging data from a pilot study
Traumatic brain injury (TBI) is a sudden injury that causes damage to the brain. Rehabilitation therapies include specific training, …
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Distributed Resource Orchestration at the Edge Based on Consensus
This paper presents a consensus-based distributed solution for orchestrating microservices at the Edge. Our approach aims to distribute …
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Deformably-scaled transposed convolution
Transposed convolution is crucial for generating high-resolution outputs, yet has received little attention compared to convolution …
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Deep learning applications in telerehabilitation speech therapy scenarios
Nowadays, many application scenarios benefit from automatic speech recognition (ASR) technology. Within the field of speech therapy, in …
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Cutting the first turf to heal post-SSRI sexual dysfunction a male retrospective cohort study
Post-SSRI sexual dysfunction (PSSD) is a set of heterogeneous sexual problems, which may arise during the administration of selective …
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Covert network construction, disruption, and resilience A survey
Covert networks refer to criminal organizations that operate outside the boundaries of the law; they can be mainly classified as …
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Classical and quantum random walks to identify leaders in criminal networks
Random walks simulate the randomness of objects, and are key instruments in various fields such as computer science, biology and …
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Blockchain for Smart Cities systems, infrastructures and citizens
The present PhD thesis investigates the application of new technological achievement in many social aspects of a modern city evolving …
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An Innovative Blockchain-Based Orchestrator for Osmotic Computing
In the last decade, the increasing number of devices connected to the internet has allowed the development of new technologies for …
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An explainable medical imaging framework for modality classifications trained using small datasets
With the huge expansion of artificial intelligence in medical imaging, many clinical warehouses, medical centres and research …
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An Energy Efficiency Analysis of the Blockchain-Based extended Triple Diffie-Hellman Protocol for IoT
The recent advancements in miniaturized smart data collecting devices pushed the need of securing communications between people and …
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Alocação de Recursos em Redes Sem Fio de Grande Porte por meio de Meta-Heurísticas e Predição da Carga de Usuários
Com o aumento significativo de usuários móveis, a busca pelo gerenciamento de recursos tornou-se essencial. Essa gerência deve visar …
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Advances in neuroRehabilitation of TREM2-related dementia A case report on a novel multimodal approach using virtual reality
Interventions As the patient was in a chronic phase, to manage his cognitive and motor status, we decided to treat him by using a …
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A distributed peer to peer identity and access management for the osmotic computing
Nowadays Osmotic Computing is emerging as one of the paradigms used to guarantee the Cloud Continuum, and this popularity is strictly …
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A Blockchain Based Federated Ecosystem for Tracking and Validating the Authenticity of Goods
Nowadays, the presence of counterfeit goods in the markets involves billions of dollars in damage to individuals, companies, and …
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Towards smart tele-biomedical laboratory Where we are, issues, and future challenges
Tele-biomedical laboratory is a medical laboratory where blood exams are performed either by patients themselves in their homes or by …
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SPRINGER PROCEEDINGS IN COMPLEXITY
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Overcoming security limitations of secret share techniques the nested secret share
Secret Share (SS) is becoming a very hot topic within the scientific community. It allows us to split a secret into fragments and to …
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Oce-dns an innovative osmotic computing enabled domain name system
Recently, the Osmotic computing paradigm has emerged as a solution to enable the Cloud-Edge-Internet of Things (IoT) continuum. …
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Multilayer network analysis the identification of key actors in a Sicilian Mafia operation
Recently, Social Network Analysis studies have led to an improvement and to a generalization of existing tools to networks with …
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Multi Hop Reconfiguration of End-Devices in Heterogeneous Edge-IoT Mesh Networks
Internet of Things has revolutionized the way services are distributed in smart environments, approaching the computation where data …
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Game of Thieves and WERW-Kpath Two Novel Measures of Node and Edge Centrality for Mafia Networks
Real-world complex systems can be modeled as homogeneous or heterogeneous graphs composed by nodes connected by edges. The importance …
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Evaluating an application aware distributed Dijkstra shortest path algorithm in hybrid cloud/edge environments
To increase the flexibility and the dynamism of communication networks, Software Defined Networking (SDN) has emerged as a challenging …
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Criminal networks analysis in missing data scenarios through graph distances
Data collected in criminal investigations may suffer from issues like (i) incompleteness, due to the covert nature of criminal …
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Correlations among game of thieves and other centrality measures in complex networks
Social Network Analysis (SNA) is used to study the exchange of resources among individuals, groups, or organizations. The role of …
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Correlation analysis of node and edge centrality measures in artificial complex networks
The role of an actor in a social network is identified through a set of measures called centrality. Degree centrality, betweenness …
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Blockchain-Based Strategy to Avoid Fake AI in eHealth Scenarios with Reinforcement Learning
Every year the healthcare sector suffers from incorrect therapies and an increasing number of patients analysis, which causes …
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An osmotic computing enabled domain naming system (oce-dns) for distributed service relocation between cloud and edge
Osmotic computing has emerged as a solution enabling the Cloud–Edge–Internet of Things (IoT) continuum. It supports the transparent …
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An Innovative Blockchain Based Application of the Extended Triple Diffie-Hellman Protocol for IoT
The massive use of the Internet with the increase in the number of IoT devices in the last decade is leading to explore new frontiers …
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A Microservices and Blockchain Based One Time Password (MBB-OTP) Protocol for Security-Enhanced Authentication
Nowadays, the increasing complexity of digital applications for social and business activities has required more and more advanced …
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Verifiable secret share for file storage with cheater identification
Verifiable Secret Share (VSS) is a branch of Secret Share (SS) that allow Verifiable Secret Share (VSS) is a branch of Secret Share …
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Smart hospitals enabled by edge computing
In last few years, achievements in information and communications technologies (ICTs), such as the electronic health record (EHR), have …
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Robust link prediction in criminal networks A case study of the Sicilian Mafia
Link prediction exercises may prove particularly challenging with noisy and incomplete networks, such as criminal networks. Also, the …
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On the applicability of secret share algorithms for osmotic computing
Osmotic Computing (OC) is an innovative computation paradigm that runs services on Cloud, Edge, and Internet of Things (IoT) resources …
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Modeling Users’ Performance Predictive Analytics in an IoT Cloud Monitoring System
We exploit the feasibility of predictive modeling combined with the support given by a suitably defined IoT Cloud Infrastructure in the …
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MeSmart-Pro Advanced Processing at the Edge for Smart Urban Monitoring and Reconfigurable Services
With reference to the MeSmart project, the Municipality of Messina is making a great investments to deploy several types of cameras and …
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Learning from irregularly sampled data for endomicroscopy super-resolution a comparative study of sparse and dense approaches
Probe-based confocal laser endomicroscopy (pCLE) enables performing an optical biopsy via a probe. pCLE probes consist of multiple …
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Investigating classification supervised learning approaches for the identification of critical patients’ posts in a healthcare social network
Nowadays, Healthcare Social Networks (HSNs) offer the possibility to enhance patient care and education. However, they also present …
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Intelligent equipment design assisted by Cognitive Internet of Things and industrial big data
In recent years, the development of emerging technologies has brought about a new era of industrial reform. The current industrial …
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Innovative Cloud and Edge based systems for smart life
In the last years, Smart Cities are becoming very popular within the scientific community. There are many definitions of Smart Cities …
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Information management in IoT cloud-based tele-rehabilitation as a service for smart cities Comparison of NoSQL approaches
Nowadays, recent advancements in ICT have sped up the development of new services for smart cities in different application domains. …
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Improving machine learning algorithm processing time in tele-rehabilization through a nosql graph database approach A preliminary study
Recent advancements in ICT have sped up the development of new services in healthcare. In this context, remote patient monitoring and …
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Graph comparison and artificial models for simulating real criminal networks
Network Science is an active research field, with numerous applications in areas like computer science, economics, or sociology. …
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Disrupting resilient criminal networks through data analysis The case of Sicilian Mafia
Compared to other types of social networks, criminal networks present particularly hard challenges, due to their strong resilience to …
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Criminal Network The Sicilian Mafia.“
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Blockchain-Based Healthcare Workflow for Tele-Medical Laboratory in Federated Hospital IoT Clouds
In a pandemic situation such as that we are living at the time of writing of this paper due to the Covid-19 virus, the need of …
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BCB-X3DH a Blockchain Based Improved Version of the Extended Triple Diffie-Hellman Protocol
The Extended Triple Diffie-Hellman (X3DH) protocol has been used for years as the basis of secure communication establishment among …
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Augmenting Dementia Cognitive Assessment with Instruction-less Eye-tracking Tests
Eye-tracking technology is an innovative tool that holds promise for enhancing dementia screening. In this work, we introduce a novel …
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Augmenting cognitive assessment with instruction‐less Eye‐tracking tests A machine learning approach for detecting abnormal oculomotor biomarkers Mapping dementia Technological methods to identify and interpret cognitive function
Eye‐tracking technology is an innovative tool that holds promise for enhanced dementia screening, offering the potential of brief and …
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A proximity-based indoor navigation system tackling the COVID-19 social distancing measures
The emergency we are experiencing due to the coronavirus infection is changing the role of technologies in our daily life. In …
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A multi-agent autonomous intersection management (MA-AIM) system for smart cities leveraging edge-of-things and Blockchain
The growing trend of people moving around urban areas requires more intelligent transportation-support services in smart cities. In …
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A Decision Support System for Therapy Prescription in a Hospital Centre
Several cases are reported every year where the prescribed therapy results incompatible with the patient’s medical history, leading to …
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Using machine learning to study flu vaccines opinions of Twitter users
Nowadays, Healthcare Social Networks (HSNs) offer the possibility to enhance patient care and education. However, they also present …
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Un sistema di tracciabilità delle competenze basato sulla tecnologia blockchain
Negli ultimi anni una crescente attenzione è stata rivolta verso le criptovalute e la tecnologia a supporto delle transazioni, la bloc …
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Towards hybrid multi-cloud storage systems Understanding how to perform data transfer
Nowadays, storing and retrieving information over the Cloud is critical for the survival and growth of organizations and people. In …
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Osmotic computing as a distributed multi-agent system The body area network scenario
Nowadays, the latest technological advancements have changed the centralized Cloud Computing model, going through Edge and Internet of …
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Optimizing the research of dna sequences in a nosql document database A preliminary study
The study of DNA sequences has become indis-pensable for basic biological research, and in numerous applied fields such as comparative …
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On the design of a blockchain-as-a-service-based health information exchange (BaaS-HIE) system for patient monitoring
The digitization of health records has massively increased Health Information Exchange (HIE) activities among different practitioners, …
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Infrastructureless IoT-as-a-service for public safety and disaster response
This article proposes a novel cost-effective, robust, reliable and flexible infrastructureless IoT multi-hop Wireless Mesh Network …
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In-Vivo Hyperspectral Human Brain Image Database for Brain Cancer Detection
The use of hyperspectral imaging for medical applications is becoming more common in recent years. One of the main obstacles that …
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How to Develop IoT Cloud e-Health Systems Based on FIWARE A Lesson Learnt
Nowadays, the penetration of sensors and actuators in different application fields is revolutionizing all aspects of our daily life. …
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Guest editorial special section on cloud computing, edge computing, internet of things, and big data analytics applications for healthcare industry 4.0
Guest Editorial Special Section on Cloud Computing, Edge Computing, Internet of Things, and Big Data Analytics Applications for …
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Development of a smart metering microservice based on fast Fourier transform (FFT) for edge/internet of things environments
In recent years, great attention has been given to new Internet of Things (IoT) technologies. The IoT concept is nowadays intrinsic to …
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Degenerative adversarial neuroimage nets generating images that mimic disease progression
Simulating images representative of neurodegenerative diseases is important for predicting patient outcomes and for validation of …
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Current applications and future promises of machine learning in diffusion mri
Diffusion-Weighted Magnetic Resonance Imaging (DW-MRI) explores the random motion of diffusing water molecules in biological tissue and …
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Classification of benign and malignant lymph nodes based on ex-vivo diffusion MRI data
Developing non-invasive imaging technique for detection and characterisation of lymph nodes is an important topic in cancer research. …
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An approach for the secure management of hybrid cloud–edge environments
The Cloud-of-Things (CoT) paradigm is a challenging approach to manage IoT applications exploiting Cloud resources and services. In …
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Adversarial training with cycle consistency for unsupervised super-resolution in endomicroscopy
In recent years, endomicroscopy has become increasingly used for diagnostic purposes and interventional guidance. It can provide …
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A study on join operations in MongoDB preserving collections data models for future internet applications
Presently, we are observing an explosion of data that need to be stored and processed over the Internet, and characterized by large …
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A study on container virtualization for guarantee quality of service in cloud-of-things
Internet of Things (IoT) Cloud is emerging as an innovative distributed system consisting of a set of Single Board Computers (SBCs), …
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A secure inter-domain communication for IoT devices
Nowadays, a multitude of sensors are used to gather data in several fields from smart buildings, to industries, to cars, etc.. These …
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A hybrid computing solution and resource scheduling strategy for edge computing in smart manufacturing
At present, smart manufacturing computing framework has faced many challenges such as the lack of an effective framework of fusing …
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A framework for real time end to end monitoring and big data oriented management of smart environments
Nowadays, the success of Internet of Things (IoT) applications depends on the intelligence of tools and techniques that can monitor, …
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Why deep learning is changing the way to approach NGS data processing a review
Nowadays, big data analytics in genomics is an emerging research topic. In fact, the large amount of genomics data originated by …
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Telerehabilitation in individuals with severe acquired brain injury rationale, study design, and methodology
Background Severe acquired brain injury (SABI) rehabilitation should be as intensive and long as to allow the patients get the best …
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Tecniche di ricerca avanzate per il rilevamento e la classificazione dei dati personali uno strumento per garantire le performance dei dati.
Le attività istituzionali nella Pubblica Amministrazione si basano quasi totalmente sulle tecnologie informatiche, con la produzione di …
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Spatio-spectral classification of hyperspectral images for brain cancer detection during surgical operations
Surgery for brain cancer is a major problem in neurosurgery. The diffuse infiltration into the surrounding normal brain by these tumors …
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SISTEMA DI COMUNICAZIONE CHE UTILIZZA UNA RETE MESH
SISTEMA DI COMUNICAZIONE CHE UTILIZZA UNA RETE MESH IRIS IRIS Home Sfoglia Macrotipologie & tipologie Autore Titolo Riviste Serie …
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Osmotic computing software defined membranes meet private/federated blockchains
This paper presents an innovative solution to manage security and trustiness in Osmotic Computing. Osmotic Computing dynamically …
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How to Manage Efficiently Clinical Big-Data by Means of Cloud Computing
Nowadays, Information and Communication Technologies (ICT) are widely adopted in hospitals. Increasingly often medical devices are …
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How to conceive future mobility services in smart cities according to the fiware frontiercities experience
The mobility of people is one of the main critical aspects related to daily life in a city, causing both traffic congestion and …
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From the cloud to edge and IoT a smart orchestration architecture for enabling osmotic computing
The latest technological and conceptual developments have destroyed the centralized Cloud Computing model, moving Cloud services in …
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Effective deep learning training for single-image super-resolution in endomicroscopy exploiting video-registration-based reconstruction
Probe-based confocal laser endomicroscopy (pCLE) is a recent imaging modality that allows performing in vivo optical biopsies. The …
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Edge computing in IoT-based manufacturing
Edge computing extends the capabilities of computation, network connection, and storage from the cloud to the edge of the network. It …
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Designing a fiware cloud solution for making your travel smoother The fliware experience
The technological evolution introduced in the airport sector has opened the doors, in recent years, to IT solutions both for aviation …
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Artificial Intelligence and Robotics
Artificial Intelligence (AI) is a commonly employed appellation to refer to the field of science aimed at providing machines with the …
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Applying Artificial Intelligence in Healthcare Social Networks to Identity Critical Issues in Patients' Posts
Nowadays, the possibility of using social media in the healthcare field is attracting the attention of clinical professionals and of …
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Analysis of a NoSQL graph DBMS for a hospital social network
Nowadays, the possibility of using social media in the healthcare domain is attracting the attention of many clinical professionals all …
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An ontology-based resource reconfiguration method for manufacturing cyber-physical systems
The introduction of Industry 4.0 and rapid development of manufacturing cyber-physical systems, as well as the increasing demand for …
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An intraoperative visualization system using hyperspectral imaging to aid in brain tumor delineation
Hyperspectral imaging (HSI) allows for the acquisition of large numbers of spectral bands throughout the electromagnetic spectrum …
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An innovative osmotic computing framework for self adapting city traffic in autonomous vehicle environment
In recent years, autonomous driving is becoming a very hot topic for both researchers and car manufacturers. Indeed, around the world …
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An innovative methodology for big data visualization in oceanographic domain
Nowadays, thanks to new technologies, we are observing an explosion of data in different fields such as clinical, environmental and so …
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An innovative MapReduce-based approach of Dijkstra’s algorithm for SDN routing in hybrid cloud, edge and IoT scenarios
Nowadays, with the advent of Cloud/Edge Computing and Internet of Things (IoT) technologies, we are facing with a tremendous increase …
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A secure and dependable multi-agent autonomous intersection management (MA-AIM) system leveraging blockchain facilities
Every year, traffic collisions have increased rapidly in proportion to the increase in the number of vehicles, especially at …
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A scalable cloud-edge computing framework for supporting device-adaptive big media provisioning
Nowadays, we are observing an explosion on recording and transmitting of videos from multiple sources such as Social Media (Periscope, …
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A nosql graph approach to manage IoTaaS in cloud/edge environments
Nowadays, we are witnessing an explosion in the number of Internet of Things (IoT) devices spread all around the world along with an …
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A microservices-based platform for efficiently managing oceanographic data
Nowadays, thanks to new technologies, we are observing an explosion of data in different fields, from clinical to environmental. In …
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Towards osmotic computing Looking at basic principles and technologies
Osmotic Computing is becoming the new paradigm in the area of Computing. This paper shows how it can represents the glue of recent …
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Pervasive monitoring of mental health for preventing financial distress
Description Mental health disorders are rank ed among the top twenty main causes of disability worldwide. It was found that there is …
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Manifold embedding and semantic segmentation for intraoperative guidance with hyperspectral brain imaging
Recent advances in hyperspectral imaging have made it a promising solution for intra-operative tissue characterization, with the …
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Enabling secure XMPP communications in federated IoT clouds through XEP 0027 and SAML/SASL SSO
Nowadays, in the panorama of Internet of Things (IoT), finding a right compromise between interactivity and security is not trivial at …
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Deployment orchestration of microservices with geographical constraints for edge computing
Nowadays, Edge computing allows to push the application intelligence at the boundaries of a network in order to get high-performance …
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C4E cloud brokering platform for federated services aimed at European public administrations
Cloud computing is evolving towards federated ecosystems, where several Cloud Service Providers (CSPs) federate each other in order to …
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Boss A multitenancy ad-hoc service orchestrator for federated openstack clouds
Nowadays, more and more Cloud providers are appearing on the market. In this context, a typical issue is represented by the management …
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Big mri data dissemination and retrieval in a multi-cloud hospital storage system
Nowadays, we are observing an explosion in the proliferation of clinical data. In this context, a typical example of the well-known big …
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Big data his of the irccs-me future The osmotic computing infrastructure
Nowadays, we are observing a massive digitalization of clinical tasks in Hospital Information Systems (HIS). Even more medical devices …
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Big data analytics in genomics The point on Deep Learning solutions
Nowadays, Next Generation Sequeencing (NGS) is a catch-all term used to describe different modern DNA sequencing applications that …
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Are next-generation sequencing tools ready for the cloud?
Cloud-based next-generation sequencing (NGS) tools are currently at an early stage. In this Forum article, we provide a clear picture …
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An oais-based hospital information system on the cloud Analysis of a nosql column-oriented approach
The Open Archive Information System (OAIS) is a reference model for organizing people and resources in a system, and it is already …
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An IoT cloud system for traffic monitoring and vehicular accidents prevention based on mobile sensor data processing
The sudden traffic slowdown especially in fast scrolling roads and highways characterized by a scarce visibility is one of the major …
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An approach to share MRI data over the Cloud preserving patients' privacy
Patients’ data security and privacy is fundamental in the perspective of moving clinical data over the Cloud. Indeed, this …
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A watchdog service making container-based micro-services reliable in IoT clouds
The integration of Internet of Things (IoT) and Cloud computing has brought the rising of IoT Clouds able to provide different kinds of …
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A recommendation-based approach for cloud service brokerage A case study in public administration
Cloud for Europe (C4E) is a project that aims at creating new Cloud workflows, named Service Flow (SF), for Public Administrations …
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A personalized air quality sensing system-a preliminary study on assessing the air quality of London underground stations
Recent studies have shown that air pollution has a negative impact on people’s health, especially for patients with respiratory …
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A cloud-based system for improving retention marketing loyalty programs in industry 4.0 a study on big data storage implications
Nowadays, the growing global economy and demand for customized products are bringing the manufacturing industry from a sellers’ …
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A cloud computing workflow for managing oceanographic data
Ocean data management plays an important role in the oceanographic problems, such as ocean acidification. These data, having different …
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Using Google Cloud Vision in assistive technology scenarios
Google Cloud Vision is an image recognition technology that allows us to remotely process the content of an image and to retrieve its …
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Semantic segmentation of images exploiting DCT based features and random forest
This paper presents an approach for generating class-specific image segmentation. We introduce two novel features that use the …
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Open issues in scheduling microservices in the cloud
This article discusses the main advantages and challenges of adopting microservices in cloud computing. The microservices architecture …
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Leveraging the Internet of Things Integration of Sensors and Cloud Computing Systems
Nowadays, cloud computing is a widely debated topic. In fact, there are many scientific works that apply the cloud technology to …
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Intra-operative hyperspectral imaging for brain tumour detection and delineation Current progress on the HELICoid project
Background Hyperspectral Imaging (HSI) captures spectral information that has been shown to characterise tissues. Since the …
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Exploring container virtualization in IoT clouds
The advent of both Cloud computing and Internet of Things (IoT) is changing the way of conceiving information and communication …
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Deep learning for human activity recognition A resource efficient implementation on low-power devices
Human Activity Recognition provides valuable contextual information for wellbeing, healthcare, and sport applications. Over the past …
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Deep learning for health informatics
With a massive influx of multimodality data, the role of data analytics in health informatics has grown rapidly in the last decade. …
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Characterizing cloud federation in IoT
The advent of both Cloud computing and Internet of Things (IoT) is changing the way of conceiving information and communication …
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Adding long-term availability, obfuscation, and encryption to multi-cloud storage systems
Nowadays, storage services offer a new way for Cloud providers to do business. This new trend is proved by the number of Cloud storage …
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A hospital cloud-based archival information system for the efficient management of HL7 big data
Nowadays, the Open Archive Information System (OAIS) model is widely adopted in hospitals to manage data related to both doctors and …
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A deep learning approach to on-node sensor data analytics for mobile or wearable devices
The increasing popularity of wearable devices in recent years means that a diverse range of physiological and functional data can now …
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Towards the integration between IoT and cloud computing An approach for the secure self-configuration of embedded devices
The secure boot-up and setup of Internet of Things (IoT) devices connected over the Cloud represent a challenging open issue. This …
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Towards energy management in cloud federation a survey in the perspective of future sustainable and cost-saving strategies
Nowadays, the increasing interest in Cloud computing is motivated by the possibility to promote a new economy of scale in different …
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Representing scenes for real-time context classification on mobile devices
In this paper we introduce the DCT-GIST image representation model which is useful to summarize the context of the scene. The proposed …
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Real-Time Food Intake Classification and Energy Expenditure Estimation on a Mobile Device
Assessment of food intake has a wide range of applications in public health and life-style related chronic disease management. In this …
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Identity management in iot clouds A fiware case of study
Nowadays, the combination between Cloud computing and Internet of Things (IoT) is pursuing new levels of efficiency in delivering …
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Exploiting the FIWARE cloud platform to develop a remote patient monitoring system
FIWARE represents a new European Cloud platform that aims to land on the international ICT market bringing prominent novel advantages …
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Design of an IoT cloud system for container virtualization on smart objects
Nowadays, container virtualization is a lightweight alternative to the hypervisor-based approach. Recent improvements in Linux kernel …
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Big data storage in the cloud for smart environment monitoring
Monitoring activities detect changes in the environment and can be used for several purpose. To develop new advanced services for smart …
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BEACON A cloud network federation framework
This paper presents the BEACON Framework, which will enable the provision and management of cross-site virtual networks for federated …
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An authentication model for IoT clouds
Nowadays, the combination between Cloud computing and Internet of Things (IoT) is pursuing new levels of efficiency in delivering …
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An approach to reduce energy costs through virtual machine migrations in cloud federation
Cloud federation offers new business models to enforce more flexible energy management strategies. Independent Cloud providers are …
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A sustainable energy-aware resource management strategy for IoT Cloud federation
The advent of both Cloud computing and Internet of Things (IoT) is changing the way to conceive distributed systems. Nowadays, we can …
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A computer system architecture providing a user-friendly man machine interface for accessing assistive technology in cloud computing
Assistive Technology (AT) includes hardware peripherals, software applications and systems that enable a user with a disability to use …
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Using virtualization and noVNC to support assistive technology in cloud computing
In this paper, we focus on how the virtualization technology can support the usage of Assistive Technology (AT) in cloud computing. AT …
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True scene understanding classification, semantic segmentation and retrieval
The huge volume of images shared in the web sites and on personal archives has provided us challenges on massive multimedia management. …
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The need of a hybrid storage approach for iot in paas cloud federation
Monitoring activities over many different types of sensors are very challenging to support advanced services for Internet of Things …
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Saliency-based selection of gradient vector flow paths for content aware image resizing
Content-aware image resizing techniques allow to take into account the visual content of images during the resizing process. The basic …
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Human-computer interface based on IoT embedded systems for users with disabilities
This paper investigates how low-cost embedded systems can be tailored to support the interaction between users with disabilities and …
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An integrated system for advanced multi-risk management based on cloud for IoT
This chapter presents the Cloud computing technology as strategic solution for the deployment of IoT application and solutions. Cloud …
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AllJoyn Lambda An architecture for the management of smart environments in IoT
The increasing number of everyday embedded devices that are interconnected over the Internet leads to the need of new software …
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Aligning codebooks for near duplicate image detection
The detection of near duplicate images in large databases, such as the ones of popular social networks, digital investigation archives, …
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Se clever A secure message oriented middleware for cloud federation
In this paper, we address several critical security issues that bottle up the wide adoption of the Cloud Computing technology. In the …
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Method and apparatus for filtering red and/or golden eye artifacts
Processing method of a digital image to filter red and/or golden eye artifacts, the digital image comprising a plurality of pixel each …
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How cloud computing can support on-demand assistive services
This paper investigates how Cloud computing can meet the demands of people with disabilities who occasionally use a shared computer. In …
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Energy sustainability in cooperating clouds
Nowadays, cloud federation is paving the way toward new business scenarios in which it is possible to enforce more flexible energy …
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Draco paas A distributed resilient adaptable cloud oriented platform
This paper focuses on Platform as a Service (PaaS). From the advent of Cloud computing, the latest trend has been to design ad hoc …
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Data reliability in multi-provider cloud storage service with rrns
Nowadays, more and more Cloud storage providers are appearing on the market. Nevertheless, data availability and confidentiality …
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A Modular Framework for Vision-Based Human Computer Interaction
This chapter introduces the VirtualBoard framework for building vision-based Perceptual User Interfaces (PUI). While most vision-based …
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Virtual machine provisioning through satellite communications in federated Cloud environments
Cloud federation offers plenty of new services and business opportunities. However, many advanced services cannot be implemented in the …
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Understanding decentralized and dynamic brokerage in federated cloud environments
The advent of the cloud computing paradigm offers different ways both to sell services and to exploit external computational resources …
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Integration of clever clouds with third party software systems through a rest web service interface
Nowadays, a typical scenario in the panorama of cloud computing includes an IaaS cloud provider offering on-demand VM hosting services …
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Instant scene recognition on mobile platform
Scene recognition is extremely useful to improve different tasks involved in the Image Generation Pipeline of single sensor mobile …
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How the dataweb can support cloud federation Service representation and secure data exchange
Cloud Computing and federation enable new challenging business scenarios. However, the technology driving federation is at the early …
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Content-aware image resizing with seam selection based on gradient vector flow
Content-aware image resizing is an effective technique that allows to take into account the visual content of images during the …
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Achieving Federated and Self-Manageable Cloud Infrastructures Theory and Practice Theory and Practice
Cloud computing presents a promising approach for implementing scalable information and communications technology systems for private …
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A cluster-based boosting strategy for red eye removal
Red eye artifact is caused by the flash light reflected off a person’s retina. This effect often occurs when the flash light is very …
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How CLEVER-based clouds conceive horizontal and vertical federations
Nowadays, the cloud computing ecosystem includes hundreds of independent and heterogeneous clouds. Most of such cloud platforms can be …
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An approach to enable cloud service providers to arrange IaaS, PaaS, and SaaS using external virtualization infrastructures
Nowadays, the cloud computing ecosystem is more and more distributed and heterogeneous. Cloud service providers begin to build their …
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A remote attestation approach for a secure virtual machine migration in federated cloud environments
Nowadays, cloud computing is considered as a new charming technology, where new opportunities in ICT world are becoming real. Cloud is …
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Three-phase cross-cloud federation model The cloud sso authentication
Cloud federation aims to cost-effective assets and resources optimization among heterogeneous environments where clouds can cooperate …
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Security and cloud computing Intercloud identity management infrastructure
Cloud Computing is becoming one of the most important topics in the IT world. Several challenges are being raised from the adoption of …
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Red-eyes removal through cluster-based boosting on gray codes
Since the large diffusion of digital camera and mobile devices with embedded camera and flashgun, the redeyes artifacts have de facto …
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Kinect the next generation of motion control
Presentazione standard di PowerPoint Page 1 Kinect the next generation of motion control Daniele Ravì ravi@dmi.unict.it Page 2 …
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Improving virtual machine migration in federated cloud environments
Cloud federation is the future of the cloud computing. In such new emerging scenarios, the ‘hot’ and ‘cold’ …
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How to enhance cloud architectures to enable cross-federation
The near future evolution of the cloud computing can be hypothesized in three subsequent stages stage 1 ‘Monolithic’ …
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Exploiting textons distributions on spatial hierarchy for scene classification
This paper proposes a method to recognize scene categories using bags of visual words obtained by hierarchically partitioning into …
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Competitive combination of multiple eye detection and tracking techniques
Reliable detection and tracking of eyes is an important requirement for attentive user interfaces. In this paper, we present an …
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Boosting gray codes for red eyes removal
Since the large diffusion of digital camera and mobile devices with embedded camera and flashgun, the red-eyes artifacts have de-facto …
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Bags of phrases with codebooks alignment for near duplicate image detection
Image retrieval from large databases, such as popular social networks, collections of surveillance images and videos, or digital …
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An open and portable software development kit for handheld devices with proprietary operating systems
The availability of modern handheld devices equipped with powerful CPUs, large main and secondary memory, Webcam and wireless …
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A wireless sensor network for distributed autonomous traffc monitoring
Automatic traffic monitoring and surveillance have become essential for effective road usage and management. Various sensors have been …
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A vision-based system for elderly patients monitoring
Remote patient monitoring can improve the quality of life of elderly and impaired people, while reducing the costs. Among the most …
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Two competitive solutions to the problem of remote eye-tracking
Reliable detection and tracking of eyes is an important requirement for attentive user interfaces. In this paper, we present an …
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Spatial hierarchy of textons distributions for scene classification
This paper proposes a method to recognize scene categories using bags of visual words obtained hierarchically partitioning into …
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Competitive and Cooperative Solutions for Remote Eye-tracking.
Reliable detection and tracking of eyes is an important requirement for attentive user interfaces. In this paper, we present an …
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Scene categorization using bag of textons on spatial hierarchy
This paper proposes a method to recognize scene categories using bags of visual words obtained hierarchically partitioning into …
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A SIFT-based fingerprint verification system using cellular neural networks
Recently, with the increasing demand of high security, person identification has become more and more important in our everyday life. …
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A simple, usable and robust solution for pen-based interaction on projection displays
In this paper we describe a pen-based user interface for easy and natural user interaction with a wall projection display. VisualPen is …
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A Real-Time solution to the image segmentation problem CNN-Movels
2D Image segmentation has been a main issue in image analysis since the very early years. Traditional literature usually classifies …
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Quantitative analysis of pursuit ocular movements in Parkinson's disease and their relevance to clinical severity
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Dispositivo di rilevamento di movimenti oculari
Sommario dell’invenzione Scopo primario della presente invenzione è quello di realizzare un dispositivo di tracking oculare in …
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Analisi quantitative dei movimenti oculari di inseguimento nella malattia di Parkinson rilevanza nella disabilità clinica
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A wearable computer for sensors data monitoring and visualization in autonomus exploration systems
A wearable computer for sensors data monitoring and visualization in autonomus exploration systems IRIS IRIS Home Sfoglia …
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Multimodal interaction for mobile robot guidance
MULTIMODAL INTERACTION FOR MOBILE ROBOT GUIDANCE Giancarlo Iannizzotto, Pietro Lanzafame, Francesco La Rosa and Carlo Costanzo Visilab …
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Badge3D for visually impaired
Conducting an independent life is probably the most important issue for visually impaired people. In this paper, we suggest a …
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An edge-based segmentation technique for 2D still-image with cellular neural networks
When strong CPU power consumption constraints must be met, and high computation speed is mandatory (real-time processing), it can be …
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A vision-based user interface for real-time controlling toy cars
Vision-based, human-computer interaction technology is mature to substitute legacy physical devices such as mouse and joy stick for a …
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A Vision-based Framework for Human Computer Interaction
A Vision-based Framework for Human Computer Interaction IRIS IRIS Home Sfoglia Macrotipologie & tipologie Autore Titolo Riviste …
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A multimodal perceptual user interface for collaborative environments
In this paper a 3D graphics-based remote collaborative environment is introduced. This system is able to provide multiclient and …
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A Graspable vision-based Human-Computer Interface
A Graspable vision-based Human-Computer Interface IRIS IRIS Home Sfoglia Macrotipologie & tipologie Autore Titolo Riviste Serie IT …
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A CNN-based framework for 2D still-image segmentation
When strong CPU power consumption constraints must be met, and high computation speed is mandatory (realtime processing), it can be …
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Mechanical Testing of Synthetic Femurs Measurement of the Spatial Orientation by Real-Time Video Tracking
In this paper a real-time video tracking system that allows an accurate measurement of the spatial positioning of the femur in the …
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VisualPen A Physical Interface for natural human-computer interaction
In this paper we describe a physical user interface system for easy and natural user-computer interaction. VisualPen is a vision-based …
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Virtualboard Real-time visual gesture recognition for natural human-computer interaction
The paper proposes a simple, economical and efficient real-time, visual hand gesture recognition system for human-computer interaction. …
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2d still-image segmentation with cnn-amoeba
This paper introduces a still image segmentation technique based on an active contour obtained via single-layer CNNs. The contour …
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Fedsnr Enhancing Federated Learning Aggregation Using Signal-to-Noise Ratio in MRI Analysis
Medical imaging analysis and, specifically, Magnetic Resonance Imaging (MRI) have seen notable progress thanks to deep learning …
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