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

Optimized Task Offloading in Multi-Domain IoT Networks Using Distributed Deep Reinforcement Learning in Edge Computing Environments

Abstract: In the Internet of Things (IoT) networks, sensors, gateways, and services interoperate at different levels to provide services to the end users. IoT networks are deployed in different ...
IEEE

LEO Satellite Networks Assisted Geo-Distributed Data Processing

Abstract: Nowadays, the increasing deployment of edge clouds globally provides users with low-latency services. However, connecting an edge cloud to a core cloud via optic cables in terrestrial ...
USA Today

Lindsey Halligan ordered by judge to explain use of US attorney title

A federal judge ordered Lindsey Halligan to explain why she continues to identify herself as a U.S. attorney, despite a previous judge's determination that she was unlawfully appointed to the role. In ...
SciTech Daily

The Brain’s Strange Way of Computing Could Explain Consciousness

Brains do not compute like digital machines running programs. Consciousness may arise from a unique kind of physical computation shaped by biology, energy constraints, and real-time dynamics. Credit: ...