, an array of machine-learning algorithms is trained to evaluate and detect COVID-19-associated changes to lung tissue from … pneumonia, and unaffected otherwise healthy individuals using existing Machine Learning (ML) and pre-trained deep learning … decision trees (DT), as well as transfer learning models such as Convolutional Neural Network (CNN), Visual Geometry Group (VGG …

covers two objectives namely, to compare the performance of machine learning algorithms in classifying machine failures, and … to assess the effectiveness of deep learning techniques for improved prediction accuracy. The study explores various … machine learning algorithms and finds the XG Boost Classifier to be the most effective among them. Long Short-Term Memory …

This study explores how Q-proximity and A-proximity affect the student's learning excitement and performance, and how … following findings, 1. with structural equation modelling (SEM) both Q and A proximities encouraged student learning excitement …-proximity increases performance. Additionally, the study used multiple analyses of individual learning modes concerning excitement and …

Cross-course collaborations provide a learning experience for business students enrolled in different courses to meet … course-level learning objectives and common program-level objectives of developing student career readiness skills and … business program and found students valued the learning experience. Students who had a future focus or intrinsic goal …