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Scheduling

Project or Job Scheduling

Papers

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Showing 1526–1550 of 3104 papers

TitleStatusHype
Identifying Cognitive Radars -- Inverse Reinforcement Learning using Revealed Preferences—0
Investigating Constraint Programming and Hybrid Methods for Real World Industrial Test Laboratory Scheduling—0
Investigating the Monte-Carlo Tree Search Approach for the Job Shop Scheduling Problem—0
Investigating the use of ChatGPT for the scheduling of construction projects—0
Investigation of "Enhancing flexibility and robustness in multi-agent task scheduling"—0
I/O Burst Prediction for HPC Clusters using Darshan Logs—0
IoT-Aerial Base Station Task Offloading with Risk-Sensitive Reinforcement Learning for Smart Agriculture—0
IoV Scenario: Implementation of a Bandwidth Aware Algorithm in Wireless Network Communication Mode—0
IRS Aided Federated Learning: Multiple Access and Fundamental Tradeoff—0
Fair Algorithm Design: Fair and Efficacious Machine Scheduling—0
Is the GPU Half-Empty or Half-Full? Practical Scheduling Techniques for LLMs—0
Iterated Variable Neighborhood Search for the resource constrained multi-mode multi-project scheduling problem—0
Jamming Resilient Indoor Factory Deployments: Design and Performance Evaluation—0
Job Scheduling in Datacenters using Constraint Controlled RL—0
Data Centers Job Scheduling with Deep Reinforcement Learning—0
Client Selection Approach in Support of Clustered Federated Learning over Wireless Edge Networks—0
Extraction of Typical Operating Scenarios of New Power System Based on Deep Time Series Aggregation—0
Joint AP Probing and Scheduling: A Contextual Bandit Approach—0
Joint Association, Beamforming, and Resource Allocation for Multi-IRS Enabled MU-MISO Systems With RSMA—0
Joint Batching and Scheduling for High-Throughput Multiuser Edge AI with Asynchronous Task Arrivals—0
Joint Beam Scheduling and Power Allocation for SWIPT in Mixed Near- and Far-Field Channels—0
Joint Client Scheduling and Resource Allocation under Channel Uncertainty in Federated Learning—0
Joint Coding and Scheduling Optimization for Distributed Learning over Wireless Edge Networks—0
Joint Communication Scheduling and Resource Allocation for Distributed Edge Learning: Seamless Integration in Next-Generation Wireless Networks—0
Extending the Multiple Traveling Salesman Problem for Scheduling a Fleet of Drones Performing Monitoring Missions—0
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