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Scheduling

Project or Job Scheduling

Papers

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Showing 1051–1100 of 3104 papers

TitleStatusHype
A Reinforcement Learning Approach for Scheduling Problems With Improved Generalization Through Order Swapping—0
AI-based Optimal scheduling of Renewable AC Microgrids with bidirectional LSTM-Based Wind Power Forecasting—0
A Reinforcement Learning Approach for Scheduling in mmWave Networks—0
A Regression Approach to Learning-Augmented Online Algorithms—0
AI Agents vs. Agentic AI: A Conceptual Taxonomy, Applications and Challenges—0
Adaptive Resource Management for Edge Network Slicing using Incremental Multi-Agent Deep Reinforcement Learning—0
Counting-Based Search: Branching Heuristics for Constraint Satisfaction Problems—0
A real-time reactive framework for the surgical case sequencing problem—0
Count-Based Temperature Scheduling for Maximum Entropy Reinforcement Learning—0
A Real-Time Dispatching Strategy for Shared Automated Electric Vehicles with Performance Guarantees—0
A Hybrid Tabu Scatter Search Algorithm for Simulation-Based Optimization of Multi-Objective Runway Operations Scheduling—0
Cost Estimation in Unit Commitment Problems Using Simulation-Based Inference—0
Cost Optimized Scheduling in Modular Electrolysis Plants—0
A Realistic Dataset for the Smart Home Device Scheduling Problem for DCOPs—0
Cost-Effective Task Offloading Scheduling for Hybrid Mobile Edge-Quantum Computing—0
Cost-Effective RF Fingerprinting Based on Hybrid CVNN-RF Classifier with Automated Multi-Dimensional Early-Exit Strategy—0
Area and Power Efficient FFT/IFFT Processor for FALCON Post-Quantum Cryptography—0
A Hybrid Reinforcement Learning Framework for Hard Latency Constrained Resource Scheduling—0
Adaptive Relaxation based Non-Conservative Chance Constrained Stochastic MPC—0
Cost-Effective Radio and NFV Resource Allocation: E2E QoS Provision—0
Cost-Effective Online Multi-LLM Selection with Versatile Reward Models—0
An Optimization Case Study for solving a Transport Robot Scheduling Problem on Quantum-Hybrid and Quantum-Inspired Hardware—0
Cost-Aware Dynamic Cloud Workflow Scheduling using Self-Attention and Evolutionary Reinforcement Learning—0
A Q-Learning-based Approach for Distributed Beam Scheduling in mmWave Networks—0
Co-Scheduling of Energy and Production in Discrete Manufacturing Considering Decision-Dependent Uncertainties—0
CoSA: Scheduling by Constrained Optimization for Spatial Accelerators—0
CoreDiag: Eliminating Redundancy in Constraint Sets—0
A proof of contribution in blockchain using game theoretical deep learning model—0
A hybrid optimization procedure for solving a tire curing scheduling problem—0
CoRaiS: Lightweight Real-Time Scheduler for Multi-Edge Cooperative Computing—0
Coping with Large Traffic Volumes in Schedule-Driven Traffic Signal Control—0
Coordination of Heterogeneous Deferrable Loads using the F-MBC Mechanism—0
Coordinating O&M and Logistical Resources to Enhance Post-Disaster Resilience of Interdependent Power and Natural Gas Distribution Systems—0
A Profit Sharing Mechanism for Coordinated Power Traffic System—0
Coordinating Flexible Demand Response and Renewable Uncertainties for Scheduling of Community Integrated Energy Systems with an Electric Vehicle Charging Station: A Bi-level Approach—0
Coordinating Disaster Emergency Response with Heuristic Reinforcement Learning—0
A probabilistic scheduling algorithm for networked control systems—0
Coordinating CAV Swarms at Intersections with a Deep Learning Model—0
Coordinated Scheduling of Electric Vehicles Within Zero Carbon Emission Hybrid AC/DC Microgrids—0
A probabilistic algorithm for scheduling networked control systems under data losses—0
A hybrid exact-ACO algorithm for the joint scheduling, power and cluster assignment in cooperative wireless networks—0
Adaptive Population-based Simulated Annealing for Uncertain Resource Constrained Job Scheduling—0
A centralized reinforcement learning method for multi-agent job scheduling in Grid—0
TreeCSS: An Efficient Framework for Vertical Federated Learning—0
Co-Optimizing Distributed Energy Resources in Linear Complexity under Net Energy Metering—0
Co-optimization of Operational Unit Commitment and Reserve Power Scheduling for Modern Grid—0
A Priority-Aware Replanning and Resequencing Framework for Coordination of Connected and Automated Vehicles—0
Scalable Multi-Agent Reinforcement Learning for Residential Load Scheduling under Data Governance—0
Cooperative Energy Scheduling for Microgrids under Peak Demand Energy Plans—0
A Predictive Autoscaler for Elastic Batch Jobs—0
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