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 ...
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

Mitigating Cyber Risks in Smart Cyber-Physical Power Systems Through Deep Learning and Hybrid Security Models

Abstract: The rise of renewable energy integration in smart grids brings new cybersecurity challenges, prompting this study to examine vulnerabilities in Smart Cyber-Physical Power Systems (CPPS). The ...
IEEE

Machine Learning-Based Intrusion Detection Systems for the Internet of Drones: A Systematic Literature Review

Abstract: The Internet of Drones (IoD) is a dynamic network architecture in which multiple drones, equipped with communication, sensing, and computation capabilities, are interconnected through ...