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Scheduling

Project or Job Scheduling

Papers

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Showing 1101–1150 of 3104 papers

TitleStatusHype
Routing and Scheduling in Answer Set Programming applied to Multi-Agent Path Finding: Preliminary Report—0
Optimal Layout Synthesis for Deep Quantum Circuits on NISQ Processors with 100+ Qubits—0
Distributed Multi-Objective Dynamic Offloading Scheduling for Air-Ground Cooperative MEC—0
Stochastic Lp string stability analysis in predecessor-following platoons under packet losses—0
Scheduling Drone and Mobile Charger via Hybrid-Action Deep Reinforcement Learning—0
A resource-constrained stochastic scheduling algorithm for homeless street outreach and gleaning edible food—0
Strict Partitioning for Sporadic Rigid Gang Tasks—0
ExeGPT: Constraint-Aware Resource Scheduling for LLM Inference—0
Leveraging Constraint Programming in a Deep Learning Approach for Dynamically Solving the Flexible Job-Shop Scheduling Problem—0
A Reinforcement Learning Approach to Dairy Farm Battery Management using Q Learning—0
Safe Planning through Incremental Decomposition of Signal Temporal Logic Specifications—0
Adaptive Gain Scheduling using Reinforcement Learning for Quadcopter ControlCode0
Learning-Augmented Algorithms with Explicit Predictors—0
Don't Forget What I did?: Assessing Client Contributions in Federated Learning—0
RL-MSA: a Reinforcement Learning-based Multi-line bus Scheduling Approach—0
Enhancing Industrial Flexibility and Market Participation in Cement Manufacturing Through Optimized Production Scheduling—0
A Sinkhorn-type Algorithm for Constrained Optimal Transport—0
Alto: Orchestrating Distributed Compound AI Systems with Nested Ancestry—0
Strong Priority and Determinacy in Timed CCS—0
Maximizing Energy Charging for UAV-assisted MEC Systems with SWIPT—0
Averaging Rate Scheduler for Decentralized Learning on Heterogeneous DataCode0
Learning at the Speed of Wireless: Online Real-Time Learning for AI-Enabled MIMO in NextG—0
Deep Reinforcement Learning for Dynamic Algorithm Selection: A Proof-of-Principle Study on Differential Evolution—0
Better Schedules for Low Precision Training of Deep Neural Networks—0
Implementation of Linear Parameter Varying System to Investigate the Impact of Varying Flow Rate on the Lithium-ion Batteries Thermal Management System Performance—0
Semantic Text Transmission via Prediction with Small Language Models: Cost-Similarity Trade-off—0
Toward Autonomous Cooperation in Heterogeneous Nanosatellite Constellations Using Dynamic Graph Neural Networks—0
Airport take-off and landing optimization through genetic algorithms—0
Recursive GNNs for Learning Precoding Policies with Size-Generalizability—0
The Fusion of Deep Reinforcement Learning and Edge Computing for Real-time Monitoring and Control Optimization in IoT Environments—0
Gradient-based Discrete Sampling with Automatic Cyclical SchedulingCode0
Application of Machine Learning Optimization in Cloud Computing Resource Scheduling and Management—0
Energy-Efficient Scheduling with Predictions—0
Learning to Schedule Online Tasks with Bandit Feedback—0
Enhancing Kubernetes Automated Scheduling with Deep Learning and Reinforcement Techniques for Large-Scale Cloud Computing Optimization—0
A mathematical model for simultaneous personnel shift planning and unrelated parallel machine scheduling—0
Computation Offloading for Multi-server Multi-access Edge Vehicular Networks: A DDQN-based Method—0
Bias correction of wind power forecasts with SCADA data and continuous learning—0
KARL: Knowledge-Aware Retrieval and Representations aid Retention and Learning in Students—0
Deep learning-driven scheduling algorithm for a single machine problem minimizing the total tardiness—0
Learning to Defer in Content Moderation: The Human-AI Interplay—0
Robust Appointment Scheduling with Waiting Time Guarantees—0
An Index Policy Based on Sarsa and Q-learning for Heterogeneous Smart Target Tracking—0
DPBalance: Efficient and Fair Privacy Budget Scheduling for Federated Learning as a Service—0
Enhancing Courier Scheduling in Crowdsourced Last-Mile Delivery through Dynamic Shift Extensions: A Deep Reinforcement Learning Approach—0
Scheduling for On-Board Federated Learning with Satellite Clusters—0
Zero-energy Devices for 6G: Technical Enablers at a Glance—0
Learning-enabled Flexible Job-shop Scheduling for Scalable Smart Manufacturing—0
Infinite-horizon optimal scheduling for feedback control—0
Distribution Locational Marginal Emission for Carbon Alleviation in Distribution Networks: Formulation, Calculation, and Implication—0
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