IEEE

Image Segmentation Using Deep Learning: A Survey

Abstract: Image segmentation is a key task in computer vision and image processing with important applications such as scene understanding, medical image analysis, robotic perception, video ...
IEEE

Deep Learning Enabled Semantic Communication Systems

Abstract: Recently, deep learned enabled end-to-end communication systems have been developed to merge all physical layer blocks in the traditional communication systems, which make joint transceiver ...
GitHub

Hy 2 DL: Hydrological modeling using Deep Learning methods

Hy 2 DL is a python library to create hydrological models for rainfall-runoff prediction using deep learning methods. The repository includes implementations with Large-Sample Hydrology datasets such ...
GitHub

deep-q-network

Two reinforcement-learning agents for Snake on a 20 by 20 grid, measuring how much of the score is the network versus hand-coded search. An autonomous agent trained via Double Deep Q-Networks (DDQN) ...
The Lancet

Development and validation of a deep learning-based framework for automated lung CT segmentation and acute respiratory distress syndrome prediction: a multicenter cohort study

aDepartment of Critical Care Medicine, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China bDepartment of Critical Care Medicine, Shanghai Sixth People's Hospital ...