ABSTRACT: The aim of this paper is to present a generalization of the Shapiro-Wilk W-test or Shapiro-Francia W'-test for application to two or more variables. It consists of calculating all the ...
Random Forests (RFs) are among the most successful machine-learning algorithms in terms of prediction accuracy. In many domain problems, however, the primary goal is not prediction, but to understand ...
Purpose: This study aimed to compare the performance of radiomics and deep learning in predicting EGFR mutation status in patients with lung cancer based on PET/CT images, and tried to explore a model ...
1 Department of Physics, College of Natural and Computational Sciences, Wolaita Sodo University, Wolaita Sodo, Ethiopia. 2 Remote Sensing and Geo-Informatics Division, Department of Marine Geology, ...
The Swarnamukhi river estuary (SRE), and the surrounding sea in Nellore, southeast coast of India, is one of the least studied marine environments, notably for physicochemical characteristics.
Impaired myocardial conduction is the underlying mechanism for re-entrant arrhythmias. Carbon nanotube fibers (CNTfs) combine the mechanical properties of suture materials with the conductive ...
2Department of Disease Data Science, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan. 3Department of Frontier Science for Cancer and Chemotherapy, Graduate School of Medicine, Osaka ...
We compare the ability of four popular hybrid density functionals (B3LYP, B3PW91, HSE, and PBE0) for predicting band gaps of semiconductors and insulators over a large benchmark set using a consistent ...
Cycling your steam power plant is inevitable, so now is the time to learn how to minimize equipment damage and assess the true costs of cycling. Whether cycling is required by the grid operator ...
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