Abstract: This paper addresses the demand for automatic electrocardiogram (ECG) arrhythmia detection in clinical settings by proposing an Adaptive Tree Support Vector Machine (AT-SVM) algorithm, which ...
Precision crack analysis in concrete structures using CNN, SVM, and KNN: a machine learning approach
Cracks in structures are discontinuities that occur due to stress, material degradation, or design flaws, compromising structural integrity. Detecting and analyzing cracks is crucial for assessing ...
Software defect prediction and cost estimation are critical challenges in software engineering, directly influencing software quality and project management efficiency. This study presents a ...
Abstract: This paper proposes an intelligent energy management system (EMS) based on Multi-Armed Bandit (MAB) algorithm to enhance vehicle powertrain efficiency and reduce emissions in Conventional ...
Support Vector Machines (SVMs) are a powerful and versatile supervised machine learning algorithm primarily used for classification and regression tasks. They excel in high-dimensional spaces and are ...
The YouTube algorithm is often seen as a mysterious black box, determining which videos rise to fame and which languish in obscurity. But according to Todd Beaupré, who manages YouTube's ...
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