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Showing 526–550 of 3104 papers
Title
Date
Tasks
Status
Hype
Formulating the Restoration of Distribution Networks as a Multiple Traveling Salesman Problem
Apr 4, 2024
Scheduling
Traveling Salesman Problem
—
Unverified
0
A Robust Site Selection Model under uncertainty for Special Hospital Wards in Hong Kong
Jul 21, 2023
Scheduling
—
Unverified
0
AI Metropolis: Scaling Large Language Model-based Multi-Agent Simulation with Out-of-order Execution
Nov 5, 2024
Language Modeling
Language Modelling
—
Unverified
0
A Robust Optimization Framework for Flexible Industrial Energy Scheduling: Application to a Cement Plant with Market Participation
Jun 12, 2025
Scheduling
—
Unverified
0
Argumentation for Explainable Scheduling (Full Paper with Proofs)
Nov 13, 2018
Abstract Argumentation
Scheduling
—
Unverified
0
AIMD scheduling and resource allocation in distributed computing systems
Sep 6, 2021
Distributed Computing
Scheduling
—
Unverified
0
Adaptive Services Function Chain Orchestration For Digital Health Twin Use Cases: Heuristic-boosted Q-Learning Approach
Apr 25, 2023
Q-Learning
Scheduling
—
Unverified
0
A review on the charging station planning and fleet operation for electric freight vehicles
Nov 28, 2023
Scheduling
—
Unverified
0
A Review on Computational Intelligence Techniques in Cloud and Edge Computing
Jul 27, 2020
Cloud Computing
Edge-computing
—
Unverified
0
AI-focused HPC Data Centers Can Provide More Power Grid Flexibility and at Lower Cost
Oct 22, 2024
CPU
GPU
—
Unverified
0
A Review of Wind Speed and Wind Power Forecasting Techniques
Sep 2, 2020
Scheduling
Time Series
—
Unverified
0
A Review of Safe Reinforcement Learning Methods for Modern Power Systems
Jun 29, 2024
energy management
Reinforcement Learning (RL)
—
Unverified
0
AI-Driven Risk-Aware Scheduling for Active Debris Removal Missions
Sep 25, 2024
Deep Reinforcement Learning
Scheduling
—
Unverified
0
Adaptive Scheduling for Multi-Task Learning
Sep 13, 2019
Machine Translation
Multi-Task Learning
—
Unverified
0
A Comparative Evaluation of Population-based Optimization Algorithms for Workflow Scheduling in Cloud-Fog Environments
Nov 30, 2020
Scheduling
—
Unverified
0
A Review of Reinforcement Learning for Natural Language Processing, and Applications in Healthcare
Oct 23, 2023
Decision Making
Machine Translation
—
Unverified
0
A Review of Deep Reinforcement Learning in Serverless Computing: Function Scheduling and Resource Auto-Scaling
Oct 5, 2023
Benchmarking
Deep Reinforcement Learning
—
Unverified
0
AI Driven Heterogeneous MEC System with UAV Assistance for Dynamic Environment -- Challenges and Solutions
Feb 11, 2020
Decision Making
Deep Reinforcement Learning
—
Unverified
0
A resource-constrained stochastic scheduling algorithm for homeless street outreach and gleaning edible food
Mar 15, 2024
Scheduling
Thompson Sampling
—
Unverified
0
AI-Driven Health Monitoring of Distributed Computing Architecture: Insights from XGBoost and SHAP
Dec 16, 2024
Anomaly Detection
Distributed Computing
—
Unverified
0
Adaptive Scheduling for Machine Learning Tasks over Networks
Jan 25, 2021
BIG-bench Machine Learning
Federated Learning
—
Unverified
0
A Codesign of Scheduling and Parallelization for Large Model Training in Heterogeneous Clusters
Mar 24, 2024
GPU
Scheduling
—
Unverified
0
Reinforcement Learning for Joint Optimization of Multiple Rewards
Sep 6, 2019
Decision Making
Fairness
—
Unverified
0
AI-Copilot for Business Optimisation: A Framework and A Case Study in Production Scheduling
Sep 22, 2023
Prompt Engineering
Scheduling
—
Unverified
0
A Reinforcement Learning Approach to Dairy Farm Battery Management using Q Learning
Mar 14, 2024
Management
Q-Learning
—
Unverified
0
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