IEEE

A dynamic Scheduling Optimization Algorithm for Multi-layer Space-Air-Ground Integrated Network Resources Based on Deep Reinforcement Learning

SAGIN has become a cutting-edge research direction in the field of communication and computing integration to meet the core requirements of global seamless 3D coverage and "on-demand access anytime, ...
GitHub

Operating System Scheduling Algorithms

C++ CLI Application: Command-line scheduler with multiple algorithm implementations Electron Desktop Application: Interactive GUI built with React and TypeScript for visualizing scheduling algorithms ...
IEEE

A dynamic Scheduling Optimization Algorithm for Multi-layer Space-Air-Ground Integrated Network Resources Based on Deep Reinforcement Learning

This article proposes a multi-layer SAGIN dynamic resource scheduling optimization algorithm that integrates federated learning (FL) and deep reinforcement learning (DRL) to address the problems of ...
GitHub

multi_level_feedback_queue.py

The first Queue(0) to last second Queue(N-2) of MLFQ have Round Robin Algorithm The last Queue(N-1) has First Come, First Served Algorithm ...
Scientific Research Publishing

Bottleneck Identification in Semiconductor Manufacturing: A Machine Learning Approach ()

The semiconductor industry is known for its complex production. Thousands of machines (tools) perform thousands of operations over a diverse range of products with re-entrant flows and shifting ...