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Scheduling

Project or Job Scheduling

Papers

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Showing 2751–2775 of 3104 papers

TitleStatusHype
Shabari: Delayed Decision-Making for Faster and Efficient Serverless Functions—0
Sharing the Load: Considering Fairness in De-energization Scheduling to Mitigate Wildfire Ignition Risk using Rolling Optimization—0
SHARON: Secure and Efficient Cross-shard Transaction Processing via Shard Rotation—0
Shisha: Online scheduling of CNN pipelines on heterogeneous architectures—0
Short-Term Voltage Security Constrained UC to Prevent Trip Faults in High Wind Power Penetrated Power Systems—0
Short vs. Long-term Coordination of Drones: When Distributed Optimization Meets Deep Reinforcement Learning—0
ShuffleBlock: Shuffle to Regularize Deep Convolutional Neural Networks—0
SiHGNN: Leveraging Properties of Semantic Graphs for Efficient HGNN Acceleration—0
Neural Speech Coding for Real-time Communications using Constant Bitrate Scalar Quantization—0
Sim-to-Real Transfer in Multi-agent Reinforcement Networking for Federated Edge Computing—0
Simulated annealing based heuristic for multiple agile satellites scheduling under cloud coverage uncertainty—0
Simulation-based approach for Multiproject Scheduling based on composite priority rules—0
Simulation of Genetic Algorithm: Traffic Light Efficiency—0
Scheduling of Software-Defined Microgrids for Optimal Frequency Regulation—0
Single and Parallel Machine Scheduling with Variable Release Dates—0
Single-step Adversarial training with Dropout Scheduling—0
Singularity: Planet-Scale, Preemptive and Elastic Scheduling of AI Workloads—0
SkillFlow: Efficient Skill and Code Transfer Through Communication in Adapting AI Agents—0
SkipPredict: When to Invest in Predictions for Scheduling—0
Skrull: Towards Efficient Long Context Fine-tuning through Dynamic Data Scheduling—0
Sliding Differential Evolution Scheduling for Federated Learning in Bandwidth-Limited Networks—0
SlimFit: Memory-Efficient Fine-Tuning of Transformer-based Models Using Training Dynamics—0
Smaller Batches, Bigger Gains? Investigating the Impact of Batch Sizes on Reinforcement Learning Based Real-World Production Scheduling—0
SmartChoices: Augmenting Software with Learned Implementations—0
Smart energy management: process structure-based hybrid neural networks for optimal scheduling and economic predictive control in integrated systems—0
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