We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...
Abstract: The choice of activation function—particularly non-linear ones—plays a vital role in enhancing the classification performance of deep neural networks. In recent years, a variety of ...
THE ARTICLES ON THESE PAGES ARE PRODUCED BY BUSINESS REPORTER, WHICH TAKES SOLE RESPONSIBILITY FOR THE CONTENTS ...
Background: The disease burden of acute myeloid leukemia (AML) continues to pose a significant public health challenge globally. Mitochondria play a critical role in tumor development and progression ...
Researchers utilize 2D electrical resistivity imaging and borehole data to estimate the N60-value of soils with k-means clustering technique Thailand's northern regions, characterized by complex ...
Department of Chemistry, Waterloo Data and Artificial Intelligence Institute and Waterloo Institute for Nanotechnology, University of Waterloo, Waterloo, ON N2L 3G1, Canada ...
Institute of Theoretical Chemistry, College of Chemistry, Jilin University, Changchun 130023, China ...
Abstract: The study focuses on discerning normal and abnormal cardiac function via phonocardiogram (PCG) signals, employing various machine learning models including Support Vector Machine (SVM), ...
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