This valuable study introduces a self-supervised machine learning method to classify C. elegans postures and behaviors directly from video data, offering an alternative to the skeleton-based ...

This classification process was repeated for each set of feature subsets determined by the previously mentioned feature refinement methods, inclusive of a final aggregation of all selected features.

Abstract: Analysing hyperspectral images using supervised classification is challenging ... For further verification, the method is experimented on well-known hyperspectral image data “Pavia ...

Image-level weakly supervised methods based on class activation maps (CAMs) effectively reduce the cost and have shown promising progress. However, generating high-quality CAMs remains challenging due ...

Department of Chemical and Biomolecular Engineering, University of Connecticut, Storrs, Connecticut 06269, United States Center for Clean Energy Engineering, University of Connecticut, Storrs, ...

Department of Applied Economics, School of Economics, Shanghai University, Shanghai 200444, P. R. China School of Mathematics and Statistics, Nanyang Normal University, Henan 473061, P. R. China ...

Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translation ...

Retinal blood vessel morphological abnormalities are generally associated with cardiovascular, cerebrovascular, and systemic diseases, automatic artery/vein (A/V) classification is particularly ...