Ushbu ishga iqtibos qilgan ishlar

4 ta ish

Ish: Deep Reinforcement Learning-based scheduling for optimizing system load and response time in edge and fog computing environments

1. AI-driven context scheduling algorithm-based load balancing in fog computing

   Isroilov Sardorbek Solijon Ugli, Stéphane Rubini, Betty Elezebeth Samuel +1

   MaqolaIoT and Edge/Fog ComputingAIP conference proceedings20250 iqtibos

   ABIABI:AkademIndex/2025.article.005739

2. Reinforcement learning-based task scheduling in edge fog cloud environment

   Isroilov Sardorbek Solijon Ugli, Geetha Ponnaian, Thinal Raj +1

   MaqolaIoT and Edge/Fog ComputingAIP conference proceedings20250 iqtibos

   ABIABI:AkademIndex/2025.article.005742

3. Explainable Multi-Objective Quantum-Inspired Fuzzy Optimization of Rule Bases for Scalable Load Balancing in Multi-Factor Computing Environments

   Akmal Akhatov, Ma'ruf Tojiyev, Jura Kuvandikov +6

   MaqolaOAOchiq kirish20260 iqtibos

   ABIABI:AkademIndex/2026.article.045862

4. Edge-cloud deep reinforcement learning framework for low-latency predictive maintenance in industrial IoT

   Sharif Baratov, Zulfiya Makhmudova, Alisher Ochilov +2

   proceeding20260 iqtibos

   ABIABI:AkademIndex/2026.proceeding.008980