Algorithm precisely quantifies flow of information in complex networks

Networks are systems comprised of two or more connected devices, biological organisms or other components, which typically ...
Tech Xplore

VFF-Net algorithm provides promising alternative to backpropagation for AI training

Deep neural networks (DNNs), which power modern artificial intelligence (AI) models, are machine learning systems that learn ...
Deep Learning with Yacine on MSN

Adagrad Algorithm Explained and Implemented from Scratch in Python

Learn the Adagrad optimization algorithm, how it works, and how to implement it from scratch in Python for machine learning ...
Deep Learning with Yacine on MSN

RMSProp Optimization from Scratch in Python

Understand and implement the RMSProp optimization algorithm in Python. Essential for training deep neural networks ...
IEEE

Network-Calculus-Based Multiregion Joint Routing Algorithm for Large-Scale LEO Satellite Networks

Abstract: With the advantages of low delay, wide coverage, and high throughput, low-Earth-orbit (LEO) satellite networks hold significant potential for establishing globally interconnected networks.
IEEE

Reinforcement Guided Genetic Algorithm for Application Mapping in Network-on-Chip Architectures: Towards Transparent and Efficient MPSoC Scheduling

Abstract: In this paper, we present a novel hybrid application mapping framework that integrates Genetic Algorithm (GA) with Reinforcement Learning (RL) to optimize task allocation in 2D ...