IMPROVED CROSS-ENTROPY-BASED POWER SYSTEM RELIABILITY EVALUATION USING GMM WITH HIGHLY-EFFICIENT CLOSED-FORM PARAMETER UPDATING

Improved cross-entropy-based power system reliability evaluation using GMM with highly-efficient closed-form parameter updating

The reliability evaluation of composite generation and transmission systems (CSRE) is essential for power system planning and operation but often faces significant computational challenges.To accelerate CSRE, the Gaussian mixture model (GMM), known for its ability to model arbitrary probability densities, has been incorporated into the Cross-Entrop

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Magnetic resonance imaging as a diagnostic method

AdmissionIn human B6 medicine, magnetic resonance imaging (MRI) is one of the leading and most popular diagnostic methods.In veterinary medicine, initially, MRI was treated mainly as a research tool, but with the development of veterinary specializations, an increase in the number of specialists, reference clinics, but also an increase in awareness

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An Intelligent System for Outfall Detection in UAV Images Using Lightweight Convolutional Vision Transformer Network

Unmanned aerial vehicle aerial photography technology has become a crucial tool for detecting outfalls that discharge into rivers and oceans.However, the current retrieval process in aerial images relies heavily on visual interpretation by skilled experts, which is time-consuming and inefficient.To address this issue, we propose a lightweight deep-

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