Abstract: This study explores the application of Support Vector Machines (SVM) for predicting key performance metrics, namely Gain and S11 (return loss), in microstrip patch antenna design. By ...
Horizontal runout distance prediction of potential landslides is of great significance in hazard mitigation.In this study, predictive charts of landslide horizontal runout distance were developed ...
Abstract: This paper reports the application of data mining techniques; Support Vector Regression (SVR) and Boosted Regression Tree (BRT) in prediction of students’ academic performance in schools.
Henry Krumb School of Mines, Earth and Environmental Engineering Department, Columbia University, New York, New York 10027, United States ...
Department of Chemistry, University of Washington, Seattle, Washington 98195-1700, United States ...
Gulf War Illness affects an estimated one-fourth to one-third of the nearly 700,000 U.S. troops deployed to the Gulf War. Photo credit: iStock/Rawpixel Gulf War illness (GWI), the chronic, ...
Background: Alterations in brain structure have been suggested to be associated with bulimia nervosa (BN). This study aimed to employ machine learning (ML) methods based on diffusion tensor imaging ...
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