Recent years have witnessed the unprecedented development of Industry 4.0 and the Industrial Internet of Things. These two ...
Abstract: To obtain light ensemble model through clearly explained effective ensemble member selection and finding data representation in various valuable forms are major challenges in medical image ...
Republican donor Hal Lambert on Monday appeared on CNN to defend President Donald Trump, leaving fellow “NewsNight” panelists in shock with a conspiracy theory involving former President Barack Obama, ...
Today on CNN10: We'll learn how the situation in Iran is being felt around the world, after members of the country's women's national soccer team were issued humanitarian visas to stay in Australia ...
Every year, NeurIPS produces hundreds of impressive papers, and a handful that subtly reset how practitioners think about scaling, evaluation and system design. In 2025, the most consequential works ...
CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...
Alzheimer's disease (AD) and frontotemporal dementia (FTD) are major neurodegenerative disorders with characteristic EEG alterations. While most prior studies have focused on eyes-closed (EC) EEG, ...
KD-SCA : Improving Lightweight CNN Model Profiling Side-Channel Analysis with Knowledge Distillation
Abstract: The performance of Deep Learning-based Side Channel Analysis (DL-SCA) is highly dependent on the network architecture design. However, existing studies face a fundamental limitation: ...
Predicting the effects of multiple mutations on protein function is challenging due to the intricate interplay between residues. Machine learning has advanced these efforts, but traditional neural ...
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