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 ...
1 Computer Science Department, Babcock University, Ilishan-Remo, Ogun State, Nigeria. 2 Computer Science Department, Adeleke University, Ede, Osun State, Nigeria. 3 Department of Applied Mathematics, ...
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 ...
Identifying epitopes, or the segments of a protein that bind to antibodies, is critical for the development of a variety of immunotherapeutics and diagnostics. In vaccine design, the intent is to ...
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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