Researchers developed a hybrid neuro-fuzzy capsule network optimized by the Salp Swarm Algorithm to simultaneously predict mechanical and durability performance ...
A blockchain-integrated machine-learning framework reported accuracies above 99% for distinguishing attacks from normal activity in two IoHT healthcare-device datasets.
A new hybrid architecture combining graph convolutions with a lite capsule network delivers an average 9.1 percent improvement in link ...
Researchers have combined YOLOv12 detection, capsule networks, reinforcement learning, and Harris Hawks Optimization into a real-time face detection framework that ...
Researchers at Bahir Dar University have built an ensemble lip-reading model for Amharic that combines Gabor filters, Capsule Networks, and ...
An internationally validated deep learning model trained on genomes from more than 47,000 people can distinguish ALS patients from controls ...
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