IEEE

PV Arc Fault Circuit Interrupter with Knowledge Distillation-Based Lightweight Convolutional Neural Network and SSCB Integration

Abstract: DC arc faults in photovoltaic systems pose serious safety risks, including fire hazards and power disruption, making accurate and timely detection essential. This article presents PArcNet, a ...
IEEE

Design of a Low-Power Analog Integrated Deep Convolutional Neural Network

Abstract: In this article, a framework for the analog implementation of a deep convolutional neural network (CNN) is introduced and used to derive a new circuit architecture which is composed of an ...
pv magazine International

Machine learning-based fault detection technique for bifacial PV

CNN and random forest model to detect multiple faults in bifacial PV systems, including dust, shading, aging, and cracks. Using simulated I-V curves and a 180-day synthetic dataset, the model achieved ...
C&EN

GLA-Synergy: An Interpretable Global-Local Adaptive Framework for Drug Synergy Prediction in Cancer Treatment

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...
Frontiers

CatBoost-Enhanced Convolutional Neural Network Framework with Explainable Artificial Intelligence for Smart-Grid Stability Forecasting

The final, formatted version of the article will be published soon. Mobile robots, such as drones, rovers, and autonomous ground units, are becoming more crucial for inspecting, monitoring, and ...