Pune: A recent study conducted by the Maharashtra University of Health Sciences (MUHS) on 130 postgraduate medical students ...
Machine learning careers offer strong salary growth across Indian industriesReal projects and deployment skills matter more ...
A novel stacked memristor architecture performs Euclidean distance calculations directly within memory, enabling ...
Abstract: The dangerous electricity consumption behaviors of enterprises may lead to energy-related safety incidents during the production process, like overloading. To address these risks, the ...
Introduction: Myocardial ischemia can result in severe cardiovascular complications. However, the impact of clinical factors on myocardial ischemia in individuals with T2DM remains unclear. we applied ...
Objectives: This study aims to investigate the efficacy of unsupervised machine learning algorithms, specifically the Gaussian Mixture Model (GMM), K-means clustering, and Otsu automatic threshold ...
ABSTRACT: Doping is an issue associated with elite sports as athletes attempt to enhance their performance to gain an edge over other athletes. However, the prevalence of doping is continuously ...
When it comes to teaching math, a debate has persisted for decades: How, and to what degree, should algorithms be a focus of learning math? The step-by-step procedures are among the most debated ...
PCA + MiniBatch KMeans offers a strong trade-off between performance and computational cost. SAE + DBSCAN produces high-quality clusters but requires significantly more training time. Visual ...
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