Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...
Abstract: The rapid growth of video data necessitates efficient summarization techniques to extract critical insights while minimizing computational overhead. This study investigates three pre-trained ...
Abstract: The removal of artifacts is essential for improving the quality and reliability of electroencephalogram (EEG) data in academic research. Traditional methods, such as mix source separation ...
Morphological modeling using neural models has become ubiquitous in the field of computational linguistics over the last decade or so. Despite the tremendous success of neural models in morphological ...
A large dataset of real-world WebAssembly binaries, collected from the Web, GitHub, NPM and other sources. Useful as test data, to study WebAssembly, for training machine learning models, and much … ...
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