Literals
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- Addressing the different levels of collaboration between devices in IoT environments
- Allowing iot devices collaboration to help elderly in their daily lives
- An Analysis about Federated Learning in Low-Powerful Devices
- Automating the Interactions among IoT Devices using Neural Networks
- Complex event processing for health monitoring
- Context-Dependent Services Selection in Smart Environments
- Contigo: Monitoring People’s Activity App for Anomalies Detection
- Coordinación de Dispositivos IoT mediante Web Semántica y Ontologías en Situational-Context
- Coordination of IoT devices through Semantic Web and Ontologies in situational context
- Detecting and Monitoring Depression Symptoms According to People’s Behaviour Through Mobile Devices
- ECGTwinMentor: A digital twin-based system for personalized ECG learning and support
- Enabling the interconnection of smart devices through semantic web techniques
- Enhancing Smartphone Battery Life: A Deep Learning Model Based on User-Specific Application and Network Behavior
- Extending W3C Thing Description to Provide Support for Interactions of Things in Real-Time
- Extensible environment for monitoring and detecting symptoms of depression
- Federated Learning on Virtual Reality Environments: Performance Analysis on Standalone Devices
- Human Data Model: An Approach for IoT Applications Development for Elderly Healthcare
- Human data model: Improving programmability of health and well-being data for enhanced perception and interaction
- Identification and Visualization of a Patient’s Medical Record via Mobile Devices without an Internet Connection
- Improving Energy Efficiency in a Data Center: PUE Analyzing and Tuning
- Integrating Real-Time ECG Data into Virtual Reality for Enhanced Medical Training
- Interconnecting IoT devices to improve the qol of elderly people
- Interconnecting IoT devices to improve the QoL of elderly people
- Interconnecting IoT Devices to Improve the QoL of Elderly People
- IoT System for Occupational Risks Prevention at a WWTP
- Layered Interoperability for Collaborative IoT Applications
- Meeting IoT Users’ Preferences by Emerging Behavior at Run-Time
- PULSE: A modular framework for predictive energy efficiency in heterogeneous data centers
- Providing support to IoT devices deployed in disconnected rural environment
- Recommendation and Distillation of IoT Multi-Environments
- SMOTE: A Tool to Proactively Manage Situations in WoT Environments
- Sharing Knowledge to Promote Proactive Multi-environments in the WoT
- Smart Nursing Homes: Self-Management Architecture Based on IoT and Machine Learning for Rural Areas
- The Internet of Bodies Needs a Human Data Model
- Towards Proactive Context-Aware IoT Environments by Means of Federated Learning
- Towards a Runtime Devices Adaptation in a Multi-Device Environment Based on People's Needs
- Towards digital health: Integrating federated learning and crowdsensing through the Contigo app
- Towards dynamic and heterogeneous social IoT environments
- Towards dynamically programmable devices using beacons
- Training a Neural Network on Virtual Reality Devices: Challenges and Limitations
- Using Federated Learning to Achieve Proactive Context-Aware IoT Environments
- Voice assistant for pharmacologic treatment reminder
- Voice assistant to remind pharmacologic treatment in elders
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