Tags 3D-printed sensors based on fiber Bragg grating technology Design, fabrication and metrological characterization of a 3D-printed strain sensor based on fiber Bragg grating technology June 6, 2023 3D-printing Design, fabrication and metrological characterization of a 3D-printed strain sensor based on fiber Bragg grating technology June 6, 2023 ACSOS 2023 Self-Organisation Programming: A Functional Reactive Macro Approach September 1, 2023 ACSOS 2024 Proximity-based Self-Federated Learning September 16, 2024 ACSOS-C 2024 An Agent-Based Model of Directional Multi-Herds September 16, 2024 Accuracy A Technological Platform for Quantifying Alzheimer’s Patient-Caregiver Interactions in the Walk and Talk Program July 9, 2024 Adaptation models Situation Awareness in Multi-User Wearable Computing Systems September 12, 2022 Situation Awareness in Multi-User Wearable Computing Systems June 10, 2022 Agent-based modeling An Agent-Based Model of Directional Multi-Herds September 16, 2024 Aggregate Computing Self-Organisation Programming: A Functional Reactive Macro Approach October 1, 2023 Aggregate computing Towards Real-Time Aggregate Computing February 6, 2025 MacroSwarm: A scala framework for swarm programming January 1, 2025 MacroSwarm: A Scala Framework for Swarm Programming January 1, 2025 Dynamic IoT deployment reconfiguration: A global-level self-organisation approach December 1, 2024 Towards Real-Time Aggregate Computing October 28, 2024 Optimising Aggregate Monitors for Spatial Logic of Closure Spaces Properties October 1, 2024 Field-Based Coordination for Federated Learning October 1, 2024 Field-Based Coordination for Federated Learning June 18, 2024 Aggregate processes A general framework and decentralised algorithms for collective computational processes July 1, 2024 Alzheimer's disease A Wearable Platform as a First Step towards Enabling Collective Intelligence in Alzheimer's Disease Management: Feasibility Assessment on Healthy Volunteers July 9, 2024 Anomaly detection Intelligent Sitting Postural Anomaly Detection System for Wheelchair Users with Unsupervised Techniques May 1, 2024 Approach Approach September 6, 2025 Attention mechanism Attention-Based Multihead Deep Learning Framework for Online Activity Monitoring with Smartwatch Sensors October 15, 2023 Autonomous systems An Agent-Based Model of Directional Multi-Herds September 16, 2024 Behavioral sciences Situation Awareness in Multi-User Wearable Computing Systems September 12, 2022 Situation Awareness in Multi-User Wearable Computing Systems June 10, 2022 Binary Miniaturisation of Binary Classifiers through Sparse Neural Networks January 20, 2024 Binary classification Comparing Training of Sparse to Classic Neural Networks for Binary Classification in Medical Data November 28, 2024 Exploring Evaluation Metrics for Binary Classification in Data Analysis: the Worthiness Benchmark Concept August 26, 2024 Evaluation of High Sparsity Strategies for Efficient Binary Classification August 26, 2024 Miniaturisation of Binary Classifiers Through Sparse Neural Networks June 20, 2023 Biomedical monitoring A Wearable Platform as a First Step towards Enabling Collective Intelligence in Alzheimer's Disease Management: Feasibility Assessment on Healthy Volunteers July 9, 2024 Biomedical signal processing Features in Pathological Voice Distortions June 22, 2025 Experimental Comparison of Deep Learning Models for Pneumonia Classification in Chest X-Rays January 1, 2025 Emcnet: Ensemble Multiscale Convolutional Neural Network for Single-Lead ECG Classification in Wearable Devices March 15, 2024 CNN Experimental Comparison of Deep Learning Models for Pneumonia Classification in Chest X-Rays January 1, 2025 COORDINATION 2024 Field-Based Coordination for Federated Learning June 18, 2024 COVID-19 A Novel Multimodal Fusion Framework for Early Diagnosis and Accurate Classification of COVID-19 Patients Using X-ray Images and Speech Signal Processing Techniques September 12, 2022 Cameras A Technological Platform for Quantifying Alzheimer’s Patient-Caregiver Interactions in the Walk and Talk Program July 9, 2024 Centrality metrics Analysis on the Effects of Graph Perturbations on Centrality Metrics January 1, 2023 Centrality sensitivity On the Sensitivity of Centrality Metrics May 9, 2024 Chest X-rays Experimental Comparison of Deep Learning Models for Pneumonia Classification in Chest X-Rays January 1, 2025 Cloud computing Hybrid Edge-Cloud Federated Learning: The Case of Lightweight Smoking Detection December 2, 2024 Cognitive systems Situation Projection for Enhanced Human-Machine Interaction Based on Rule Mining May 22, 2024 Collaboration A Technological Platform for Quantifying Alzheimer’s Patient-Caregiver Interactions in the Walk and Talk Program July 9, 2024 Collective Intelligence Intelligent Pulverised Collective-Adaptive Systems September 1, 2024 Self-Organisation Programming: A Functional Reactive Macro Approach October 1, 2023 Towards Collective Sentiment Analysis in IoT-Enabled Scenarios September 10, 2023 Collective adaptive systems MacroSwarm: A scala framework for swarm programming January 1, 2025 Dynamic IoT deployment reconfiguration: A global-level self-organisation approach December 1, 2024 Towards Real-Time Aggregate Computing October 28, 2024 A general framework and decentralised algorithms for collective computational processes July 1, 2024 Collective computing A general framework and decentralised algorithms for collective computational processes July 1, 2024 Collective intelligence A Wearable Platform as a First Step towards Enabling Collective Intelligence in Alzheimer's Disease Management: Feasibility Assessment on Healthy Volunteers July 9, 2024 A Technological Platform for Quantifying Alzheimer’s Patient-Caregiver Interactions in the Walk and Talk Program July 9, 2024 A quantitative assessment of team members physiological traits and interactions for the development of Collective Intelligence in a clinical scenario December 13, 2022 A Multisensory Platform for Maximizing Collective Intelligence in the Operating Room December 16, 2021 Collective robotics MacroSwarm: A Scala Framework for Swarm Programming January 1, 2025 Collective-adaptive Systems Intelligent Pulverised Collective-Adaptive Systems September 1, 2024 Community-oriented systems Development and Validation of a Proximity-based Wearable Computing Testbed for Community-oriented Wearable Systems March 11, 2024 Complex networks A Comparative Study of Neural Network Pruning Strategies for AI Deployment on Edge Devices December 10, 2024 Multi-class Classification Performance Improvements Through High Sparsity Strategies November 28, 2023 Analysis on the Effects of Graph Perturbations on Centrality Metrics January 1, 2023 Computational Modeling Dynamic Decentralization Domains for the Internet of Things December 15, 2022 Computational fields A field-based computing approach to sensing-driven clustering in robot swarms September 19, 2022 Computational modeling Situation Awareness in Multi-User Wearable Computing Systems September 12, 2022 Situation Awareness in Multi-User Wearable Computing Systems June 10, 2022 Computer architecture Situation Awareness in Multi-User Wearable Computing Systems September 12, 2022 Situation Awareness in Multi-User Wearable Computing Systems June 10, 2022 Computer vision A Technological Platform for Quantifying Alzheimer’s Patient-Caregiver Interactions in the Walk and Talk Program July 9, 2024 Confusion matrix Exploring Evaluation Metrics for Binary Classification in Data Analysis: the Worthiness Benchmark Concept August 26, 2024 Consortium Consortium September 6, 2025 Context space theory Situation Identification in Smart Wearable Computing Systems Based on Machine Learning and Context Space Theory January 1, 2024 Convolutional neural networks Comparing Training of Sparse to Classic Neural Networks for Binary Classification in Medical Data November 28, 2024 Emcnet: Ensemble Multiscale Convolutional Neural Network for Single-Lead ECG Classification in Wearable Devices March 15, 2024 Cooperative intelligence Sparse Self-Federated Learning for Energy Efficient Cooperative Intelligence in Society 5.0 June 30, 2025 Cyber-physical swarms ScaRLib: Towards a hybrid toolchain for aggregate computing and many-agent reinforcement learning December 1, 2024 DSL ScaFi: A Scala DSL and Toolkit for Aggregate Programming December 15, 2022 DSLs Self-Organisation Programming: A Functional Reactive Macro Approach October 1, 2023 Decentralised systems A general framework and decentralised algorithms for collective computational processes July 1, 2024 Decentralized learning Field-Based Coordination for Federated Learning June 18, 2024 Deep Learning A Novel Multimodal Fusion Framework for Early Diagnosis and Accurate Classification of COVID-19 Patients Using X-ray Images and Speech Signal Processing Techniques September 12, 2022 Deep learning Experimental Comparison of Deep Learning Models for Pneumonia Classification in Chest X-Rays January 1, 2025 Early Detection of Parkinson’s Disease Using Deep NeuroEnhanceNet with Smartphone Walking Recordings September 27, 2024 AiCarePWP: Deep Learning-Based Novel Research for Freezing of Gait Forecasting in Parkinson’s Disease March 1, 2024 Degree centrality On the Sensitivity of Centrality Metrics May 9, 2024 Delta-oriented programming Deltas for Functional Programs with Algebraic Data Types August 28, 2023 Deployment Scalability through Pulverisation: Declarative deployment reconfiguration at runtime December 1, 2024 Deployment strategies A Comparative Study of Neural Network Pruning Strategies for AI Deployment on Edge Devices December 10, 2024 Digital biomarkers Early Detection of Parkinson’s Disease Using Deep NeuroEnhanceNet with Smartphone Walking Recordings September 27, 2024 Digital health Intelligent Sitting Postural Anomaly Detection System for Wheelchair Users with Unsupervised Techniques May 1, 2024 AiCarePWP: Deep Learning-Based Novel Research for Freezing of Gait Forecasting in Parkinson’s Disease March 1, 2024 Dissemination Dissemination September 6, 2025 Distributed Computing Self-Organisation Programming: A Functional Reactive Macro Approach October 1, 2023 Distributed Systems Intelligent Pulverised Collective-Adaptive Systems September 1, 2024 Distributed algorithms A general framework and decentralised algorithms for collective computational processes July 1, 2024 Distributed learning Proximity-based Self-Federated Learning September 16, 2024 Distributed middleware Dynamic IoT deployment reconfiguration: A global-level self-organisation approach December 1, 2024 Distributed systems Scalability through Pulverisation: Declarative deployment reconfiguration at runtime December 1, 2024 Dynamic IoT deployment reconfiguration: A global-level self-organisation approach December 1, 2024 Dynamic ensembles A general framework and decentralised algorithms for collective computational processes July 1, 2024 Dynamic reconfiguration Dynamic IoT deployment reconfiguration: A global-level self-organisation approach December 1, 2024 ECG classification Emcnet: Ensemble Multiscale Convolutional Neural Network for Single-Lead ECG Classification in Wearable Devices March 15, 2024 Early Detection A Novel Multimodal Fusion Framework for Early Diagnosis and Accurate Classification of COVID-19 Patients Using X-ray Images and Speech Signal Processing Techniques September 12, 2022 Edge AI Sparse Self-Federated Learning for Energy Efficient Cooperative Intelligence in Society 5.0 June 30, 2025 A Comparative Study of Neural Network Pruning Strategies for AI Deployment on Edge Devices December 10, 2024 Edge AI on Constrained IoT Devices: Quantization Strategies for Model Optimization February 6, 2024 Multi-class Classification Performance Improvements Through High Sparsity Strategies November 28, 2023 Edge Intelligence Towards Collective Sentiment Analysis in IoT-Enabled Scenarios September 10, 2023 Edge computing Hybrid Edge-Cloud Federated Learning: The Case of Lightweight Smoking Detection December 2, 2024 Comparing Training of Sparse to Classic Neural Networks for Binary Classification in Medical Data November 28, 2024 Evaluation of High Sparsity Strategies for Efficient Binary Classification August 26, 2024 Miniaturisation of Binary Classifiers Through Sparse Neural Networks June 20, 2023 Edge–cloud continuum Dynamic IoT deployment reconfiguration: A global-level self-organisation approach December 1, 2024 Efficient AI Miniaturisation of Binary Classifiers Through Sparse Neural Networks June 20, 2023 Efficient deep learning A Comparative Study of Neural Network Pruning Strategies for AI Deployment on Edge Devices December 10, 2024 Eigenvector centrality On the Sensitivity of Centrality Metrics May 9, 2024 Elderly Monitor A UWB Radar-based Adaptive Method for In-home Monitoring of Elderly August 30, 2023 Energy efficiency Sparse Self-Federated Learning for Energy Efficient Cooperative Intelligence in Society 5.0 June 30, 2025 Energy measurement A Technological Platform for Quantifying Alzheimer’s Patient-Caregiver Interactions in the Walk and Talk Program July 9, 2024 Ensemble learning Emcnet: Ensemble Multiscale Convolutional Neural Network for Single-Lead ECG Classification in Wearable Devices March 15, 2024 Evaluation metrics Exploring Evaluation Metrics for Binary Classification in Data Analysis: the Worthiness Benchmark Concept August 26, 2024 Exchange Calculus An Enhanced Exchange Operator for XC February 6, 2024 Fall Recognition A UWB Radar-based Adaptive Method for In-home Monitoring of Elderly August 30, 2023 Family-based analysis Deltas for Functional Programs with Algebraic Data Types August 28, 2023 Federated learning Sparse Self-Federated Learning for Energy Efficient Cooperative Intelligence in Society 5.0 June 30, 2025 Hybrid Edge-Cloud Federated Learning: The Case of Lightweight Smoking Detection December 2, 2024 Field-Based Coordination for Federated Learning October 1, 2024 Proximity-based Self-Federated Learning September 16, 2024 Field-Based Coordination for Federated Learning June 18, 2024 Field-based Coordination Self-Organisation Programming: A Functional Reactive Macro Approach October 1, 2023 Field-based coordination MacroSwarm: A Scala Framework for Swarm Programming January 1, 2025 Field-Based Coordination for Federated Learning October 1, 2024 Field-Based Coordination for Federated Learning June 18, 2024 Forecasting AiCarePWP: Deep Learning-Based Novel Research for Freezing of Gait Forecasting in Parkinson’s Disease March 1, 2024 Formal methods Towards Real-Time Aggregate Computing October 28, 2024 Freezing of Gait AiCarePWP: Deep Learning-Based Novel Research for Freezing of Gait Forecasting in Parkinson’s Disease March 1, 2024 Functional Reactive Programming (FRP) Self-Organisation Programming: A Functional Reactive Macro Approach September 1, 2023 Functional programming Deltas for Functional Programs with Algebraic Data Types August 28, 2023 Gait analysis A Visual Calibration Driven Gait Analysis Model Using Wearables May 22, 2024 Graph Neural Networks Intelligent Pulverised Collective-Adaptive Systems September 1, 2024 Graph perturbations On the Sensitivity of Centrality Metrics May 9, 2024 Graph robustness Analysis on the Effects of Graph Perturbations on Centrality Metrics January 1, 2023 Health monitoring Features in Pathological Voice Distortions June 22, 2025 Healthcare Swarm Intelligence in Internet of Medical Things: A Review February 1, 2023 Healthcare AI Hybrid Edge-Cloud Federated Learning: The Case of Lightweight Smoking Detection December 2, 2024 AiCarePWP: Deep Learning-Based Novel Research for Freezing of Gait Forecasting in Parkinson’s Disease March 1, 2024 Heart rate A Wearable Platform as a First Step towards Enabling Collective Intelligence in Alzheimer's Disease Management: Feasibility Assessment on Healthy Volunteers July 9, 2024 Herding behavior An Agent-Based Model of Directional Multi-Herds September 16, 2024 High sparsity Evaluation of High Sparsity Strategies for Efficient Binary Classification August 26, 2024 Multi-class Classification Performance Improvements Through High Sparsity Strategies November 28, 2023 Human activity recognition Attention-Based Multihead Deep Learning Framework for Online Activity Monitoring with Smartwatch Sensors October 15, 2023 Human-machine interaction Situation Projection for Enhanced Human-Machine Interaction Based on Rule Mining May 22, 2024 Human-machine systems Features in Pathological Voice Distortions June 22, 2025 A Visual Calibration Driven Gait Analysis Model Using Wearables May 22, 2024 Hybrid AI Hybrid Edge-Cloud Federated Learning: The Case of Lightweight Smoking Detection December 2, 2024 ICHMS 2024 A Visual Calibration Driven Gait Analysis Model Using Wearables May 22, 2024 Situation Projection for Enhanced Human-Machine Interaction Based on Rule Mining May 22, 2024 ISoLA Towards Real-Time Aggregate Computing October 28, 2024 Inertial navigation A Wearable Platform as a First Step towards Enabling Collective Intelligence in Alzheimer's Disease Management: Feasibility Assessment on Healthy Volunteers July 9, 2024 Information Fusion Situation Identification in Smart Wearable Computing Systems Based on Machine Learning and Context Space Theory January 1, 2024 Internet Of Things Dynamic Decentralization Domains for the Internet of Things December 15, 2022 Internet of Medical Things Swarm Intelligence in Internet of Medical Things: A Review February 1, 2023 Internet of Things Towards Collective Sentiment Analysis in IoT-Enabled Scenarios September 10, 2023 IoMT Swarm Intelligence in Internet of Medical Things: A Review February 1, 2023 IoT Edge AI on Constrained IoT Devices: Quantization Strategies for Model Optimization February 6, 2024 Attention-Based Multihead Deep Learning Framework for Online Activity Monitoring with Smartwatch Sensors October 15, 2023 Katz centrality On the Sensitivity of Centrality Metrics May 9, 2024 Language design Deltas for Functional Programs with Algebraic Data Types August 28, 2023 Lightweight models Hybrid Edge-Cloud Federated Learning: The Case of Lightweight Smoking Detection December 2, 2024 Machine learning Situation Identification in Smart Wearable Computing Systems Based on Machine Learning and Context Space Theory January 1, 2024 Macro programming Self-Organisation Programming: A Functional Reactive Macro Approach September 1, 2023 Macroprogramming ScaRLib: Towards a hybrid toolchain for aggregate computing and many-agent reinforcement learning December 1, 2024 Many-agent Reinforcement Learning Intelligent Pulverised Collective-Adaptive Systems September 1, 2024 Measurement units A Wearable Platform as a First Step towards Enabling Collective Intelligence in Alzheimer's Disease Management: Feasibility Assessment on Healthy Volunteers July 9, 2024 Medical data Comparing Training of Sparse to Classic Neural Networks for Binary Classification in Medical Data November 28, 2024 Evaluation of High Sparsity Strategies for Efficient Binary Classification August 26, 2024 Medical imaging Experimental Comparison of Deep Learning Models for Pneumonia Classification in Chest X-Rays January 1, 2025 Model compression A Comparative Study of Neural Network Pruning Strategies for AI Deployment on Edge Devices December 10, 2024 Comparing Training of Sparse to Classic Neural Networks for Binary Classification in Medical Data November 28, 2024 Model efficiency Evaluation of High Sparsity Strategies for Efficient Binary Classification August 26, 2024 Multi-class Classification Performance Improvements Through High Sparsity Strategies November 28, 2023 Model miniaturisation Miniaturisation of Binary Classifiers Through Sparse Neural Networks June 20, 2023 Monitoring Dynamic Decentralization Domains for the Internet of Things December 15, 2022 Multi-agent cluster formation A field-based computing approach to sensing-driven clustering in robot swarms September 19, 2022 Multi-class Multi-class classification performance improvements through high sparsity strategies January 20, 2024 Multi-class classification Multi-class Classification Performance Improvements Through High Sparsity Strategies November 28, 2023 Multi-herd dynamics An Agent-Based Model of Directional Multi-Herds September 16, 2024 Multihead deep learning Attention-Based Multihead Deep Learning Framework for Online Activity Monitoring with Smartwatch Sensors October 15, 2023 Neighbourhood communications A general framework and decentralised algorithms for collective computational processes July 1, 2024 Network robustness On the Sensitivity of Centrality Metrics May 9, 2024 Network science Analysis on the Effects of Graph Perturbations on Centrality Metrics January 1, 2023 Neural Networks Edge AI on Constrained IoT Devices: Quantization Strategies for Model Optimization February 6, 2024 Neural network compression Miniaturisation of Binary Classifiers Through Sparse Neural Networks June 20, 2023 Neural network pruning A Comparative Study of Neural Network Pruning Strategies for AI Deployment on Edge Devices December 10, 2024 Papers Publications September 6, 2025 Parkinson’s disease Early Detection of Parkinson’s Disease Using Deep NeuroEnhanceNet with Smartphone Walking Recordings September 27, 2024 AiCarePWP: Deep Learning-Based Novel Research for Freezing of Gait Forecasting in Parkinson’s Disease March 1, 2024 Pathological voices Features in Pathological Voice Distortions June 22, 2025 PerCom Workshops 2024 Development and Validation of a Proximity-based Wearable Computing Testbed for Community-oriented Wearable Systems March 11, 2024 Pneumonia detection Experimental Comparison of Deep Learning Models for Pneumonia Classification in Chest X-Rays January 1, 2025 Posture monitoring Intelligent Sitting Postural Anomaly Detection System for Wheelchair Users with Unsupervised Techniques May 1, 2024 Probabilistic failure models Analysis on the Effects of Graph Perturbations on Centrality Metrics January 1, 2023 Programming Dynamic Decentralization Domains for the Internet of Things December 15, 2022 Project The Project September 6, 2025 Prototypes Software September 6, 2025 Proximity sensing Development and Validation of a Proximity-based Wearable Computing Testbed for Community-oriented Wearable Systems March 11, 2024 Proximity-based Proximity-based Self-Federated Learning September 16, 2024 Publications Publications September 6, 2025 Pulverisation Scalability through Pulverisation: Declarative deployment reconfiguration at runtime December 1, 2024 Dynamic IoT deployment reconfiguration: A global-level self-organisation approach December 1, 2024 Intelligent Pulverised Collective-Adaptive Systems September 1, 2024 Quantization Edge AI on Constrained IoT Devices: Quantization Strategies for Model Optimization February 6, 2024 Rain Dynamic Decentralization Domains for the Internet of Things December 15, 2022 Real-time systems Towards Real-Time Aggregate Computing October 28, 2024 Rehabilitation engineering Early Detection of Parkinson’s Disease Using Deep NeuroEnhanceNet with Smartphone Walking Recordings September 27, 2024 Reinforcement Learning Intelligent Pulverised Collective-Adaptive Systems September 1, 2024 Reinforcement learning ScaRLib: Towards a hybrid toolchain for aggregate computing and many-agent reinforcement learning December 1, 2024 Rule mining Situation Projection for Enhanced Human-Machine Interaction Based on Rule Mining May 22, 2024 Runtime reconfiguration Scalability through Pulverisation: Declarative deployment reconfiguration at runtime December 1, 2024 SLCS Real-Time Guarantees for SLCS Monitors in XC February 6, 2024 ScaFi Self-Organisation Programming: A Functional Reactive Macro Approach September 1, 2023 Scala ScaFi: A Scala DSL and Toolkit for Aggregate Programming December 15, 2022 Scala DSL MacroSwarm: A Scala Framework for Swarm Programming January 1, 2025 Self-adaptation Scalability through Pulverisation: Declarative deployment reconfiguration at runtime December 1, 2024 Self-federated learning Sparse Self-Federated Learning for Energy Efficient Cooperative Intelligence in Society 5.0 June 30, 2025 Self-organisation Scalability through Pulverisation: Declarative deployment reconfiguration at runtime December 1, 2024 Self-organising systems Proximity-based Self-Federated Learning September 1, 2024 Self-organization Self-Organisation Programming: A Functional Reactive Macro Approach September 1, 2023 Self-organizing Proximity-based Self-Federated Learning September 16, 2024 Sensing-based clustering A field-based computing approach to sensing-driven clustering in robot swarms September 19, 2022 Sensor systems A Wearable Platform as a First Step towards Enabling Collective Intelligence in Alzheimer's Disease Management: Feasibility Assessment on Healthy Volunteers July 9, 2024 Sensors Swarm Intelligence in Internet of Medical Things: A Review February 1, 2023 Dynamic Decentralization Domains for the Internet of Things December 15, 2022 Situation Awareness in Multi-User Wearable Computing Systems September 12, 2022 Situation Awareness in Multi-User Wearable Computing Systems June 10, 2022 Sentiment Analysis Towards Collective Sentiment Analysis in IoT-Enabled Scenarios September 10, 2023 Situation awareness Situation Projection for Enhanced Human-Machine Interaction Based on Rule Mining May 22, 2024 Situation-Aware Sensor-Based Wearable Computing Systems: A Reference Architecture-Driven Review June 13, 2022 Situation identification Situation Identification in Smart Wearable Computing Systems Based on Machine Learning and Context Space Theory January 1, 2024 Smart systems Situation Identification in Smart Wearable Computing Systems Based on Machine Learning and Context Space Theory January 1, 2024 Smartphone sensing Early Detection of Parkinson’s Disease Using Deep NeuroEnhanceNet with Smartphone Walking Recordings September 27, 2024 Smartwatch sensors Attention-Based Multihead Deep Learning Framework for Online Activity Monitoring with Smartwatch Sensors October 15, 2023 Smoking detection Hybrid Edge-Cloud Federated Learning: The Case of Lightweight Smoking Detection December 2, 2024 Social factors Situation Awareness in Multi-User Wearable Computing Systems September 12, 2022 Situation Awareness in Multi-User Wearable Computing Systems June 10, 2022 Society 5.0 Sparse Self-Federated Learning for Energy Efficient Cooperative Intelligence in Society 5.0 June 30, 2025 Software Software September 6, 2025 Sparse neural networks Sparse Self-Federated Learning for Energy Efficient Cooperative Intelligence in Society 5.0 June 30, 2025 Comparing Training of Sparse to Classic Neural Networks for Binary Classification in Medical Data November 28, 2024 Evaluation of High Sparsity Strategies for Efficient Binary Classification August 26, 2024 Multi-class Classification Performance Improvements Through High Sparsity Strategies November 28, 2023 Miniaturisation of Binary Classifiers Through Sparse Neural Networks June 20, 2023 Spatial Logic Real-Time Guarantees for SLCS Monitors in XC February 6, 2024 Spectral analysis Analysis on the Effects of Graph Perturbations on Centrality Metrics January 1, 2023 Speech Processing A Novel Multimodal Fusion Framework for Early Diagnosis and Accurate Classification of COVID-19 Patients Using X-ray Images and Speech Signal Processing Techniques September 12, 2022 Speech features Features in Pathological Voice Distortions June 22, 2025 Swarm Behaviours Self-Organisation Programming: A Functional Reactive Macro Approach October 1, 2023 Swarm clustering A field-based computing approach to sensing-driven clustering in robot swarms September 19, 2022 Swarm intelligence Swarm Intelligence in Internet of Medical Things: A Review February 1, 2023 Swarm programming MacroSwarm: A scala framework for swarm programming January 1, 2025 MacroSwarm: A Scala Framework for Swarm Programming January 1, 2025 Task Analysis Dynamic Decentralization Domains for the Internet of Things December 15, 2022 Testbed Development and Validation of a Proximity-based Wearable Computing Testbed for Community-oriented Wearable Systems March 11, 2024 Time measurement A Technological Platform for Quantifying Alzheimer’s Patient-Caregiver Interactions in the Walk and Talk Program July 9, 2024 TinyML Edge AI on Constrained IoT Devices: Quantization Strategies for Model Optimization February 6, 2024 Towards Collective Sentiment Analysis in IoT-Enabled Scenarios September 10, 2023 Type checking Deltas for Functional Programs with Algebraic Data Types August 28, 2023 UWB Radar A UWB Radar-based Adaptive Method for In-home Monitoring of Elderly August 30, 2023 Unsupervised learning Intelligent Sitting Postural Anomaly Detection System for Wheelchair Users with Unsupervised Techniques May 1, 2024 Usecase Use Cases September 6, 2025 Visual calibration A Visual Calibration Driven Gait Analysis Model Using Wearables May 22, 2024 Vital Sign Detection A UWB Radar-based Adaptive Method for In-home Monitoring of Elderly August 30, 2023 Voice analysis Features in Pathological Voice Distortions June 22, 2025 Wearable computers Situation Awareness in Multi-User Wearable Computing Systems September 12, 2022 Situation Awareness in Multi-User Wearable Computing Systems June 10, 2022 Wearable computing Development and Validation of a Proximity-based Wearable Computing Testbed for Community-oriented Wearable Systems March 11, 2024 Situation Identification in Smart Wearable Computing Systems Based on Machine Learning and Context Space Theory January 1, 2024 Wearable devices Emcnet: Ensemble Multiscale Convolutional Neural Network for Single-Lead ECG Classification in Wearable Devices March 15, 2024 Wearable sensors A Visual Calibration Driven Gait Analysis Model Using Wearables May 22, 2024 Wheelchair users Intelligent Sitting Postural Anomaly Detection System for Wheelchair Users with Unsupervised Techniques May 1, 2024 Wi-Fi A Contactless Sensing Method for Social Activity Recognition August 7, 2023 Worthiness Benchmark Exploring Evaluation Metrics for Binary Classification in Data Analysis: the Worthiness Benchmark Concept August 26, 2024 X-ray Image Classification A Novel Multimodal Fusion Framework for Early Diagnosis and Accurate Classification of COVID-19 Patients Using X-ray Images and Speech Signal Processing Techniques September 12, 2022 agent-based modeling An Agent-Based Model of Directional Multi-Herds September 1, 2024 aggregate computing ScaFi-Blocks: A Visual Aggregate Programming Environment for Low-Code Swarm Design October 1, 2024 Engineering Distributed Collective Intelligence in Cyber-Physical Swarms September 1, 2024 On Stream Runtime Verification and Aggregate Programming July 18, 2023 Combining Static and Runtime Verification with AC and Coq July 18, 2023 ScaFi: A Scala DSL and Toolkit for Aggregate Programming December 15, 2022 architecture A BSN-Enabled Collaborative Edge-Cloud Architecture for Multi-User Activity Recognition September 10, 2023 artificial neural network A Contactless Sensing Method for Social Activity Recognition August 7, 2023 assessing group behaviors Wearable Systems for Unveiling Collective Intelligence in Clinical Settings December 12, 2023 assessment of collective intelligence Wearable Systems for Unveiling Collective Intelligence in Clinical Settings December 12, 2023 collaborative body sensor networks A BSN-Enabled Collaborative Edge-Cloud Architecture for Multi-User Activity Recognition September 10, 2023 collective adaptive systems Towards Real-Time Aggregate Computing February 6, 2025 collective computing Engineering Distributed Collective Intelligence in Cyber-Physical Swarms September 1, 2024 Programming Distributed Collective Processes for Dynamic Ensembles and Collective Tasks June 15, 2023 collective processes Programming Distributed Collective Processes for Dynamic Ensembles and Collective Tasks June 15, 2023 computational fields An Enhanced Exchange Operator for XC February 6, 2024 computer situation awareness Situation-Aware Sensor-Based Wearable Computing Systems: A Reference Architecture-Driven Review June 13, 2022 conductive textiles Design And Development Of A Flexible Wearable Sensor Based On A Conductive Textile For Breathing Monitoring September 28, 2023 contact-less sensing A Contactless Sensing Method for Social Activity Recognition August 7, 2023 coordination models An Enhanced Exchange Operator for XC February 6, 2024 distributed collective intelligence Engineering Distributed Collective Intelligence in Cyber-Physical Swarms September 1, 2024 distributed computing An Enhanced Exchange Operator for XC February 6, 2024 distributed machine learning Proximity-based Self-Federated Learning September 1, 2024 distributed programming Towards Real-Time Aggregate Computing February 6, 2025 distributed systems Real-Time Guarantees for SLCS Monitors in XC February 6, 2024 Combining Static and Runtime Verification with AC and Coq July 18, 2023 eXchange Calculus Real-Time Guarantees for SLCS Monitors in XC February 6, 2024 edge computing A BSN-Enabled Collaborative Edge-Cloud Architecture for Multi-User Activity Recognition September 10, 2023 ensembles Programming Distributed Collective Processes for Dynamic Ensembles and Collective Tasks June 15, 2023 federated learning Proximity-based Self-Federated Learning September 1, 2024 fiber Bragg gratings Design, fabrication and metrological characterization of a 3D-printed strain sensor based on fiber Bragg grating technology June 6, 2023 field calculus On Stream Runtime Verification and Aggregate Programming July 18, 2023 field-based coordination ScaFi-Blocks: A Visual Aggregate Programming Environment for Low-Code Swarm Design October 1, 2024 ScaFi: A Scala DSL and Toolkit for Aggregate Programming December 15, 2022 formation control Programming Distributed Collective Processes for Dynamic Ensembles and Collective Tasks June 15, 2023 fused deposition modeling Design, fabrication and metrological characterization of a 3D-printed strain sensor based on fiber Bragg grating technology June 6, 2023 group behaviors. 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