A lot of progress has been made in areas such as visual data mining and natural language processing using deep learning techniques. Deep learning is a branch of machine learning and has been used ...

Thus, mining visual patterns is a fundamental task in computer ... It includes an unsupervised pattern-level contrastive learning and a multipattern activation map. Their joint optimization encourages ...

Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge CB3 0AS, United Kingdom Cambridge Centre for Advanced Research and Education in Singapore, CARES Ltd., 1 CREATE ...

The experimental results demonstrated that the use of the AdaBoost algorithm from machine learning for the mobile ultrasonic stratified flow velocity measurement device was feasible and effective.

Their paper, "Accelerating Cavity Fault Prediction Using Deep Learning at Jefferson Laboratory," appeared in the journal Machine Learning: Science and Technology in 2024. One major limiting factor ...

We aimed to assess the association between deep learning-derived cardiac chamber volumes (right atrial, right ventricular, left ventricular, and left atrial) and mass (left ventricular) from these ...