However, maintaining vast rail infrastructure networks has become increasingly complex as aging assets, extreme weather events, and rising traffic volumes place additional strain on tracks and ...

Computer vision technologies are artificial intelligence (AI)-powered systems that can capture, analyze, and interpret visual data captured from real-world environments. While these systems are now ...

Choosing a Tinder profile picture seems like a free, personal and creative act. But to what extent is that true? A new study developed by the Universitat Oberta de Catalunya (UOC) reveals that, far ...

More than six years after implementation, supervisory practice has begun to vary between member states. ESMA’s intervention suggests concern that uneven ...

Xanadu (Xanadu Quantum Technologies Inc.), a world leader in photonic quantum computing, in partnership with Mitsubishi Chemical, a major Japanese chemical manufacturer, has announced the release of a ...

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...

Monitoring and treating heart failure (HF) is a challenging condition at any age. Several models, such as Atrial fibrillation, Hemoglobin, Elderly, Abnormal renal parameters, Diabetes mellitus (AHEAD) ...

Abstract: This paper presents an evaluation of the Extreme Learning Machine (ELM), Kernel Extreme Learning Machine (KELM), and the Kernel Extreme Learning Machine optimized by the Whale Optimization ...

As the core equipment in industrial production, rotating machinery bearings play a critical role. However, traditional feature extraction algorithms for vibration signals are susceptible to noise ...