Wearable Point-of-Care Biosensor for Biomolecular Assay in Health Monitoring.
Wearable biosensors enhance health monitoring, enabling early disease detection through real-time bioanalysis. ππ¬
September 6, 2025
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Discover the newest research about AI innovations in π€ Internet of Things (IoT).
Managing Cognitive Decline Through a Social Robot-Based Intervention: Protocol for the engAGE Proof of Concept and Randomized Controlled Trial.
Exploring the engAGE Project: Social Robots Combat Cognitive Decline in Older Adults π€π
September 4, 2025
Effects of attractions and social attributes on peoples’ usage intention and media dependence towards chatbot: The mediating role of parasocial interaction and emotional support.
Exploring chatbot interactions: 1,553 users reveal emotional support’s impact on media dependence and usage intention. π€π¬
August 30, 2025
A cross-language analysis of urolithiasis patient online materials: Assessment across 24 European languages.
Urolithiasis online materials are complex; 20% of patients struggle with comprehension. Simplification is crucial for better adherence. ππ§
August 28, 2025
Addressing Challenges in the NHS 10 Year Health Plan
NHS 10 Year Health Plan faces challenges in digital delivery. Key issues include funding, infrastructure, and patient engagement. π₯π»
August 6, 2025
Internet of things enabled deep learning monitoring system for realtime performance metrics and athlete feedback in college sports.
IoT-enabled deep learning model achieves 93.45% accuracy in real-time athlete performance tracking. ππββοΈ
August 5, 2025
The power of combined modalities in interactive robot learning.
Exploring combined feedback modalities in robot learning enhances user interaction and learning success. π€π
August 4, 2025
How to use social media in medical education: A focus on epilepsy.
Exploring social media’s role in epilepsy education: benefits, challenges, and future innovations. ππ»
August 4, 2025
An optimized stacking-based TinyML model for attack detection in IoT networks.
Optimized TinyML model achieves 99.98% accuracy in IoT attack detection with 0.12ms latency and 0.01mW power consumption. ππ
August 2, 2025
TCN-MAML: A TCN-Based Model with Model-Agnostic Meta-Learning for Cross-Subject Human Activity Recognition.
Innovative TCN-MAML model achieves 99.6% accuracy in cross-subject human activity recognition using Wi-Fi sensing! ππ‘
July 28, 2025