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Scheduling

Project or Job Scheduling

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Showing 3001–3025 of 3104 papers

TitleStatusHype
Blockchain-Based Decentralized Energy Management Platform for Residential Distributed Energy Resources in A Virtual Power Plant—0
Blocking Bandits—0
Boomerang: Local sampling on image manifolds using diffusion models—0
Boosting Column Generation with Graph Neural Networks for Joint Rider Trip Planning and Crew Shift Scheduling—0
Bottleneck Identification in Resource-Constrained Project Scheduling via Constraint Relaxation—0
Bounded Recursive Self-Improvement—0
Bounds Arc Consistency for Weighted CSPs—0
Branching Dueling Q-Network Based Online Scheduling of a Microgrid With Distributed Energy Storage Systems—0
Broadband Analog Aggregation for Low-Latency Federated Edge Learning (Extended Version)—0
Buffer-aware Wireless Scheduling based on Deep Reinforcement Learning—0
Buffer Pool Aware Query Scheduling via Deep Reinforcement Learning—0
Building a Truly Distributed Constraint Solver with JADE—0
Building Better Nurse Scheduling Algorithms—0
Building HVAC Scheduling Using Reinforcement Learning via Neural Network Based Model Approximation—0
Caching Placement and Resource Allocation for Cache-Enabling UAV NOMA Networks—0
CADS: Core-Aware Dynamic Scheduler for Multicore Memory Controllers—0
Calendar.help: Designing a Workflow-Based Scheduling Agent with Humans in the Loop—0
CaMDN: Enhancing Cache Efficiency for Multi-tenant DNNs on Integrated NPUs—0
Camera-Driven Representation Learning for Unsupervised Domain Adaptive Person Re-identification—0
Can Dynamic TDD Enabled Half-Duplex Cell-Free Massive MIMO Outperform Full-Duplex Cellular Massive MIMO?—0
Can Q-Learning be Improved with Advice?—0
Capacity-Aware Planning and Scheduling in Budget-Constrained Monotonic MDPs: A Meta-RL Approach—0
Capacity-Constrained Online Learning with Delays: Scheduling Frameworks and Regret Trade-offs—0
Capacity Credit Evaluation of Generalized Energy Storage Considering Strategic Capacity Withholding and Decision-Dependent Uncertainty—0
Caramel: Accelerating Decentralized Distributed Deep Learning with Computation Scheduling—0
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