IEEE

Optimization of Methodology for Identifying Partial Discharges in Insulating Liquids Through Optical Radiation Analysis Using Machine Learning

Abstract: The emission of optical radiation is associated with electrical discharges in high-voltage power systems. Detecting, measuring, and analyzing this radiation can enable the identification of ...
Journal of Medical Internet Research

Passive Sensing for Mental Health Monitoring Using Machine Learning With Wearables and Smartphones: Scoping Review

Passive sensing via wearable devices and smartphones, combined with machine learning (ML), enables objective, continuous, and noninvasive mental health monitoring. Objective: This study aimed to ...
IEEE

Robust Multimodal Sentiment Analysis Based on Adaptive Information Distillation and Adversarial Learning

Abstract: Multimodal sentiment analysis (MSA) has exhibited superior performance compared to unimodal sentiment analysis. However, in real-world scenarios, multimodal data are prone to being ...
Frontiers

Understanding user perceptions of DeepSeek: insights from sentiment, topic and network analysis using a Reddit-based study

Introduction: The launch of DeepSeek, a Chinese open-source generative AI model, generated substantial discussion regarding its capabilities and implications. The r/deepseek subreddit emerged as a key ...