IEEE

A Physics-Inspired Deep Learning Framework With Polar Coordinate Attention for Ptychographic Imaging

Abstract: Ptychographic imaging confronts inherent challenges in applying deep learning for phase retrieval from diffraction patterns. Conventional neural architectures, both convolutional neural ...

Identifying potential drug candidates with deep learning virtual screening

The earliest stage of drug discovery is governed by a simple constraint: there are far more possible drug-like molecules than ...
IEEE

Multi-Agent Deep Reinforcement Learning for Dynamic Routing in MANETs Using Graph Neural Networks

Abstract: Mobile Ad Hoc Networks (MANETs) consist of decentralized wireless networks with dynamic topologies and frequent link failures which make achieving efficient routing extremely difficult.