Abstract: This paper presents a comprehensive fault classification framework for three-phase Induction Motors (IMs) using a novel Grey Wolf Optimization-enhanced Support Vector Machine (GWO-SVM) ...

Code, configuration templates, and documentation for the PSCC 2026 paper Comparison of Deep Learning Methods for Fault Analysis in Power System Protection. An end-to-end machine learning pipeline for ...

The New York Court of Appeals in Government Employees Insurance Co. v. Mayzenberg upheld that insurers can deny no-fault claims based on providers’ failure to meet licensing requirements, but not ...

MATLAB is a leading environment for numerical computing, algorithm design, and data analysis used by engineers, researchers, and students worldwide. Prices matter because the total outlay depends on ...

A research team led by the University of Sharjah in the United Arab Emirates has developed a novel machine learning approach for fault detection in bifacial PV systems. The method combines a ...

1 State Grid Anhui Electric Power Co., Ltd., Ma’anshan Power Supply Company, Anhui, China 2 State Grid Anhui Electric Power Research Institute, Anhui, China Reliable fault detection is essential for ...

Introduction: In seismic structural interpretation, fault detection plays a crucial role as it serves as the foundation and key step for identifying favorable oil and gas zones. Currently, many ...

ABSTRACT: This paper presents a method for detecting, classifying, and locating short-circuit faults in meshed electrical networks using Artificial Neural Networks (ANNs). The proposed approach is ...