IEEE

A Tutorial on Quantum Computing and Deep Learning with Quantum Deep Neural Networks

Abstract: Quantum Computing (QC) technology and Deep Learning (DL) science have garnered significant attention for their potential to revolutionize computation. This paper introduces the basic ...
GitHub

RNN-DAS: A New Deep Learning Approach for Detection and Real-Time Monitoring of Volcano-Tectonic Events Using Distributed Acoustic Sensing

RNN-DAS is an innovative Deep Learning model based on Recurrent Neural Networks (RNNs) with Long Short-Term Memory (LSTM) cells, developed for real-time Volcano-seismic Signal Recognition (VSR) using ...
IEEE

PF-DTN: Predictive routing for intelligent delay tolerant networks using RNN-LSTM deep learning with monte carlo dropout uncertainty estimation and hybrid deterministic ...

Abstract: Delay tolerant networks (DTN/s) represent an evolution of traditional ad hoc networks, specifically designed for extreme environments characterized by intermittent connectivity, ...
GitHub

DavidZWZ/Awesome-Deep-Research

Submit an issue with the paper details (title, arXiv link, all the categories in our paper table, and GitHub repo if available) Or create a pull request with the paper added to the research papers ...