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

Japan is an archipelago with diverse climate zones and complex topography that is prone to heavy rain and flooding. Add the ...

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 ...

6G visions include immersive extended reality, holographic communications, tactile internet applications, and large-scale digital twins. Supporting these services will demand fully autonomous network ...

Anemia in young adult women is rarely caused by a single factor. Instead, it reflects a layered interaction of nutritional deficiencies, physiological demands, chronic illnesses, genetic ...

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) ...

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 ...

A machine learning algorithm used gene expression profiles of patients with gout to predict flares. The PyTorch neural network performed best, with an area under the curve of 65%. The PyTorch model ...

As modern manufacturing increasingly relies on artificial intelligence (AI), automation, and real-time data processing, the need for faster and more energy-efficient computing systems has never been ...

Abstract: Extreme learning machine (ELM) is an effective and efficient neural model for universal approximation. However, its practical performance can degrade due to weight noise, node faults, and ...