New AI model predicts battery lifespan after only 50 cycles

Unlike traditional testing, which requires hundreds or thousands of charge – discharge cycles, the model can estimate a new ...
AZoSensors

Low-Power Sensor Node Brings Machine Learning to the Edge of Environmental Monitoring

A new low-power sensor node framework combines sensing and machine learning, with the potential to enhance real-time ...
IEEE

A Novel Multi-Step Short-Term Power Forecasting Model for Electric Power Systems Based on Deep-Learning

Abstract: Load forecasting and renewable energy forecasting are fundamental for the optimization and scheduling of new power systems, which play a crucial role in ensuring the safe, stable, and ...
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

Enhancing Adversarial Robustness in AI Systems: A Novel Defense Mechanism Using Stable Diffusion

Abstract: Recent advancements in adversarial machine learning underscore the need for robust defenses against sophisticated attacks that compromise AI systems’ reliability. Existing frameworks, such ...