AMIAC: adaptive medical image analyzes and classification, a robust self-learning framework

S Iqbal, AN Qureshi, K Aurangzeb, M Alhussein… - Neural Computing and …, 2023 - Springer
Adaptive self-learning is a promising technique in medical image analysis that enables deep
learning models to adapt to changes in image distribution over time. As medical image data …

Video-Based Sign Language Recognition via ResNet and LSTM Network

J Huang, V Chouvatut - Journal of Imaging, 2024 - mdpi.com
Sign language recognition technology can help people with hearing impairments to
communicate with non-hearing-impaired people. At present, with the rapid development of …

Predicting quantum evolutions of excitation energy transfer in a light-harvesting complex using multi-optimized recurrent neural networks

SC Zhao, YM Huang, ZR Zhao - arxiv preprint arxiv:2401.17775, 2024 - arxiv.org
Constructing models to discover physics underlying magnanimous data is a traditional
strategy in data mining which has been proved to be powerful and successful. In this work, a …