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Scheduling

Project or Job Scheduling

Papers

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Showing 1401–1450 of 3104 papers

TitleStatusHype
Hierarchical Stochastic Scheduling of Multi-Community Integrated Energy Systems in Uncertain Environments via Stackelberg Game—0
Hierarchical Task Offloading for UAV-Assisted Vehicular Edge Computing via Deep Reinforcement Learning—0
HierTrain: Fast Hierarchical Edge AI Learning with Hybrid Parallelism in Mobile-Edge-Cloud Computing—0
Co-optimization of Operational Unit Commitment and Reserve Power Scheduling for Modern Grid—0
High-Dimensional Sparse Data Low-rank Representation via Accelerated Asynchronous Parallel Stochastic Gradient Descent—0
Highly Accurate Prediction of Jobs Runtime Classes—0
Energy-Efficient Radio Resource Allocation for Federated Edge Learning—0
High-Performance Computing for Scheduling Decision Support: A Parallel Depth-First Search Heuristic—0
High-Precision, Fair University Course Scheduling During a Pandemic—0
High-Throughput LLM inference on Heterogeneous Clusters—0
Holmes: Towards Distributed Training Across Clusters with Heterogeneous NIC Environment—0
HoloFed: Environment-Adaptive Positioning via Multi-band Reconfigurable Holographic Surfaces and Federated Learning—0
Energy Efficient Federated Learning in Integrated Fog-Cloud Computing Enabled Internet-of-Things Networks—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
Bounds Arc Consistency for Weighted CSPs—0
An Enhanced Iterative Deepening Search Algorithm for the Unrestricted Container Rehandling Problem—0
How to predict and optimise with asymmetric error metrics—0
Controlling Graph Dynamics with Reinforcement Learning and Graph Neural Networks—0
Human-AI Collaboration Enables More Empathic Conversations in Text-based Peer-to-Peer Mental Health Support—0
Energy-Efficient Federated Edge Learning with Streaming Data: A Lyapunov Optimization Approach—0
Human-Machine Collaborative Optimization via Apprenticeship Scheduling—0
Human-Robot Team Coordination with Dynamic and Latent Human Task Proficiencies: Scheduling with Learning Curves—0
Hungry Professors? Decision Biases Are Less Widespread than Previously Thought—0
Energy Efficient Edge Computing: When Lyapunov Meets Distributed Reinforcement Learning—0
Bounded Recursive Self-Improvement—0
Hybrid ASP-based multi-objective scheduling of semiconductor manufacturing processes (Extended version)—0
Energy-Efficient Cyclical Trajectory Design for UAV-Aided Maritime Data Collection in Wind—0
Hybrid Genetic Algorithm for Cloud Computing Applications—0
Hybrid Heuristic Algorithms for Adiabatic Quantum Machine Learning Models—0
Energy Efficient Computation Offloading in Aerial Edge Networks With Multi-Agent Cooperation—0
Hybrid Neuro-Evolutionary Method for Predicting Wind Turbine Power Output—0
Hybrid Offline-Online Design for Reconfigurable Intelligent Surface Aided UAV Communication—0
Hybrid Offline-online Scheduling Method for Large Language Model Inference Optimization—0
Hybrid Plant Models Call for a Different Plant Modelling Paradigm and a New Generation of Software (Heresy in the land of moles, fractions, & rigorous physical properties)—0
Cost-Effective Online Multi-LLM Selection with Versatile Reward Models—0
Hybrid Reinforcement Learning for Optimizing Pump Sustainability in Real-World Water Distribution Networks—0
Bottleneck Identification in Resource-Constrained Project Scheduling via Constraint Relaxation—0
A Framework for Model Search Across Multiple Machine Learning Implementations—0
Hydra: Hybrid Server Power Model—0
HydraWave: Multi-Group Multicast Hybrid Precoding and Low-Latency Scheduling for Ubiquitous Industry 4.0 mmWave Communication—0
HyGen: Efficient LLM Serving via Elastic Online-Offline Request Co-location—0
Hyper-Learning for Gradient-Based Batch Size Adaptation—0
HyperSched: Dynamic Resource Reallocation for Model Development on a Deadline—0
HyperspectralViTs: General Hyperspectral Models for On-board Remote Sensing—0
Hyper-Tune: Towards Efficient Hyper-parameter Tuning at Scale—0
Unsupervised Training of Diffusion Models for Feasible Solution Generation in Neural Combinatorial Optimization—0
IF-Net: An Illumination-invariant Feature Network—0
Count-Based Temperature Scheduling for Maximum Entropy Reinforcement Learning—0
Improving Depression estimation from facial videos with face alignment, training optimization and scheduling—0
Boosting Column Generation with Graph Neural Networks for Joint Rider Trip Planning and Crew Shift Scheduling—0
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