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Scheduling

Project or Job Scheduling

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Showing 2901–2950 of 3104 papers

TitleStatusHype
A Survey on Congestion Control and Scheduling for Multipath TCP: Machine Learning vs Classical Approaches—0
A Survey on Deep Reinforcement Learning for Data Processing and Analytics—0
A Survey on Dynamic Job Scheduling in Grid Environment Based on Heuristic Algorithms—0
A Survey on Video Analytics in Cloud-Edge-Terminal Collaborative Systems—0
A Swift Heuristic Method for Work Order Scheduling under the Skilled-Workforce Constraint—0
Asymptotically Smaller Encodings for Graph Problems and Scheduling—0
AsyncDSB: Schedule-Asynchronous Diffusion Schrödinger Bridge for Image Inpainting—0
Asynchronous Execution of Heterogeneous Tasks in ML-driven HPC Workflows—0
Asynchronous Fractional Multi-Agent Deep Reinforcement Learning for Age-Minimal Mobile Edge Computing—0
Asynchronous Multi-Model Dynamic Federated Learning over Wireless Networks: Theory, Modeling, and Optimization—0
Asynchronous Stochastic Subgradient Methods for General Nonsmooth Nonconvex Optimization—0
A System-Level Energy-Efficient Digital Twin Framework for Runtime Control of Batch Manufacturing Processes—0
A Tabu Search Algorithm for the Multi-period Inspector Scheduling Problem—0
A tabu search algorithm with efficient diversification strategy for high school timetabling problem—0
A Tailored NSGA-III Instantiation for Flexible Job Shop Scheduling—0
A Temporal-Pattern Backdoor Attack to Deep Reinforcement Learning—0
A Time Decomposition and Coordination Strategy for Power System Multi-Interval Operation—0
Atomic Proximal Policy Optimization for Electric Robo-Taxi Dispatch and Charger Allocation—0
Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System—0
A Transformer-Based Framework for Greek Sign Language Production using Extended Skeletal Motion Representations—0
Trustworthy V2G scheduling and energy trading: A blockchain-based framework—0
Attention-based Reinforcement Learning for Combinatorial Optimization: Application to Job Shop Scheduling Problem—0
Attention-Enhanced Prompt Decision Transformers for UAV-Assisted Communications with AoI—0
AttentionInfluence: Adopting Attention Head Influence for Weak-to-Strong Pretraining Data Selection—0
A Two-Layers Predictive Algorithm for Workplace EV Charging—0
A two-level machine learning framework for predictive maintenance: comparison of learning formulations—0
A Two-phase On-line Joint Scheduling for Welfare Maximization of Charging Station—0
A Two-Phase Safe Vehicle Routing and Scheduling Problem: Formulations and Solution Algorithms—0
A Two-stage Framework and Reinforcement Learning-based Optimization Algorithms for Complex Scheduling Problems—0
A Two-Step Learning and Interpolation Method for Location-Based Channel Database—0
Auction-based and Distributed Optimization Approaches for Scheduling Observations in Satellite Constellations with Exclusive Orbit Portions—0
Auction-Based Scheduling—0
Auction designs to increase incentive compatibility and reduce self-scheduling in electricity markets—0
A unified decision making framework for supply and demand management in microgrid networks—0
A Unified Energy Management Framework for Multi-Timescale Forecasting in Smart Grids—0
A unified heuristic and an annotated bibliography for a large class of earliness-tardiness scheduling problems—0
A User Study on Contrastive Explanations for Multi-Effector Temporal Planning with Non-Stationary Costs—0
Autellix: An Efficient Serving Engine for LLM Agents as General Programs—0
AutoDirector: Online Auto-scheduling Agents for Multi-sensory Composition—0
Auto-Ensemble: An Adaptive Learning Rate Scheduling based Deep Learning Model Ensembling—0
AutoHete: An Automatic and Efficient Heterogeneous Training System for LLMs—0
AutoLoRa: A Parameter-Free Automated Robust Fine-Tuning Framework—0
AutoLoss: Learning Discrete Schedule for Alternate Optimization—0
Automated Algorithm Selection: Survey and Perspectives—0
Automated Conversion of Static to Dynamic Scheduler via Natural Language—0
Automated deep reinforcement learning for real-time scheduling strategy of multi-energy system integrated with post-carbon and direct-air carbon captured system—0
Automated Generation of Precedence Graphs in Digital Value Chains for Automotive Production—0
Automated Heuristic Design for Unit Commitment Using Large Language Models—0
Automated Hybrid Reward Scheduling via Large Language Models for Robotic Skill Learning—0
Automated timetabling for small colleges and high schools using huge integer programs—0
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