IEEE

A Comprehensive Survey on Machine and Deep Learning for Optical Communications

Abstract: The increasing complexity of optical communication systems and networks necessitates advanced methodologies for extracting valuable insights from vast and heterogeneous datasets. Machine ...
Frontiers

Trustworthy navigation with variational policy in deep reinforcement learning

1 Chester F. Carlson Center for Imaging Science, Rochester Institute of Technology, Rochester, NY, United States 2 Department of Electrical and Computer Engineering, The University of Texas Rio Grande ...
eeworldonline

How does deep learning actually work?

Deep learning has added a new dimension to engineering applications, from 5G signal processing to predictive maintenance in power grids. It automatically detects equipment failures and optimizes ...
IEEE

Deep Learning for Low-Light Vision: A Comprehensive Survey

Abstract: Visual recognition in low-light environments is a challenging problem since degraded images are the stacking of multiple degradations (noise, low light and blur, etc.). It has received ...
Frontiers

Defect Diagnosis of Visible Light Images of Photovoltaic Modules Based on Active Transfer Learning

The final, formatted version of the article will be published soon. To address the challenges of missed detection and false detection of bird droppings and dust defects caused by data imbalance during ...
The Lancet

Development of a multi-task deep learning system for classification of nine common knee abnormalities on MRI: a large-scale, multicentre, stepwise validation study

aDepartment of Radiology, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China bInstitute of High-End Intelligent Health Equipment, Academy of Orthopedics, Guangdong Province ...