IEEE

Deep Transfer Learning Technology-Based Condition Monitoring and Fault Diagnosis of Electric Vehicle Electric Powertrain Systems: A Review

Abstract: The safety and reliability of battery, motor, and power electronics systems in electric vehicles (EVs) are critical determinants of vehicle operation and passenger safety. Precise condition ...
Scientific Research Publishing

Early Alzheimer’s Disease Detection from Short Speech Samples Using Lightweight, Interpretable Linguistic Markers ()

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
IEEE

Deep Learning-Based Health Monitoring for Photovoltaic Systems

Abstract: The transition to renewable energy sources like photovoltaic (PV) systems is essential for societal progress, counteracting the adverse effects of fossil fuels. However, managing PV systems ...
Scientific Research Publishing

Multimodal Digital Phenotyping for Bipolar Disorder: Robust Mood-State Classification and Early Relapse Risk Monitoring ()

Bipolar Disorder, Digital Phenotyping, Multimodal Learning, Face/Voice/Phone, Mood Classification, Relapse Prediction, T-SNE, Ablation Share and Cite: de Filippis, R. and Al Foysal, A. (2025) ...
Devdiscourse

ILO, UNICEF and Oman Deliver GCC’s First Training on Social Protection M&E

Robust monitoring and evaluation give policymakers the clarity they need to refine programmes and measure real impact,” said ...
Journal of Medical Internet Research

Remote Patient Monitoring and Machine Learning in Acute Exacerbations of Chronic Obstructive Pulmonary Disease: Dual Systematic Literature Review and Narrative Synthesis

The second review examines studies that combined machine learning with RPM to predict AECOPD. We review the evidence and concepts behind RPM and machine learning and discuss the strengths, limitations ...