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Scheduling

Project or Job Scheduling

Papers

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Showing 301–350 of 3104 papers

TitleStatusHype
Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets—0
An Advanced Reinforcement Learning Framework for Online Scheduling of Deferrable Workloads in Cloud Computing—0
An advanced methodology to enhance energy efficiency in a hospital cooling-water system—0
Advancing MG Energy Management: A Rolling Horizon Optimization Framework for Three-Phase Unbalanced Networks Integrating Convex Formulations—0
An Adaptive Volatility-based Learning Rate Scheduler—0
An adaptive Simulated Annealing-based satellite observation scheduling method combined with a dynamic task clustering strategy—0
Advancing Generative Artificial Intelligence and Large Language Models for Demand Side Management with Internet of Electric Vehicles—0
Active Deformable Part Models—0
A Review of Deep Reinforcement Learning in Serverless Computing: Function Scheduling and Resource Auto-Scaling—0
An adaptive large neighborhood search heuristic for the multi-port continuous berth allocation problem—0
An adaptive bi-objective optimization algorithm for the satellite image data downlink scheduling problem considering request split—0
Enhancing Cyber-Resilience in Integrated Energy System Scheduling with Demand Response Using Deep Reinforcement Learning—0
An adaptable task-oriented dialog system for stand-alone embedded devices—0
Advanced Statistical Learning on Short Term Load Process Forecasting—0
Action Model Acquisition using LSTM—0
A Multi-timescale and Chance-Constrained Energy Dispatching Strategy of Integrated Heat-Power Community with Shared Hybrid Energy Storage—0
A Multi-step and Resilient Predictive Q-learning Algorithm for IoT with Human Operators in the Loop: A Case Study in Water Supply Networks—0
Advanced Scheduling of Electrolyzer Modules for Grid Flexibility—0
A Distributionally Robust Model Predictive Control for Static and Dynamic Uncertainties in Smart Grids—0
A Multi-Objective Planning and Scheduling Framework for Community Energy Storage Systems in Low Voltage Distribution Networks—0
ActCooLR – High-Level Learning Rate Schedules using Activation Pattern Temperature—0
Accelerated Distributed Allocation—0
A resource-constrained stochastic scheduling algorithm for homeless street outreach and gleaning edible food—0
A Review of Reinforcement Learning for Natural Language Processing, and Applications in Healthcare—0
A Multi-Agent System Approach to Load-Balancing and Resource Allocation for Distributed Computing—0
A Monotone Approximate Dynamic Programming Approach for the Stochastic Scheduling, Allocation, and Inventory Replenishment Problem: Applications to Drone and Electric Vehicle Battery Swap Stations—0
A Distributed Neural Linear Thompson Sampling Framework to Achieve URLLC in Industrial IoT—0
A Model Predictive Control Scheme for Flight Scheduling and Energy Management of Electric Aviation Networks—0
A Model for Optimal Resilient Planning Subject to Fallible Actuators—0
A Distance Similarity-based Genetic Optimization Algorithm for Satellite Ground Network Planning Considering Feeding Mode—0
A convex mathematical program for pump scheduling in a class of branched water networks—0
A Model-Based Approach for Flight Delay Prediction—0
A Minimax Framework for Two-Agent Scheduling with Inertial Constraints—0
A Discrete-time Dynamical Model for Optimal Dispatching and Rebalancing of Autonomous Mobility-on-Demand Systems—0
A Meta-Learning Approach for Multi-Objective Reinforcement Learning in Sustainable Home Environments—0
A metaheuristic for crew scheduling in a pickup-and-delivery problem with time windows—0
A Differentiable Framework for End-to-End Learning of Hybrid Structured Compression—0
A Constraint Programming Model For Serial Batch Scheduling With Minimum Batch Size—0
Accelerated Cloud for Artificial Intelligence (ACAI)—0
A Memetic Algorithm with Reinforcement Learning for Sociotechnical Production Scheduling—0
A Maximum Independent Set Method for Scheduling Earth Observing Satellite Constellations—0
A Constraint Programming Model for Scheduling the Unloading of Trains in Ports: Extended—0
A mathematical model for simultaneous personnel shift planning and unrelated parallel machine scheduling—0
A Markovian Model-Driven Deep Learning Framework for Massive MIMO CSI Feedback—0
A Deep Reinforcement Learning-Based Charging Scheduling Approach with Augmented Lagrangian for Electric Vehicle—0
A Causation-Based Framework for Pricing and Cost Allocation of Energy, Reserves, and Transmission in Modern Power Systems—0
A Markov Decision Process Approach to Active Meta Learning—0
A Lyapunov-Based Methodology for Constrained Optimization with Bandit Feedback—0
A Deep Reinforcement Learning Approach to Multi-component Job Scheduling in Edge Computing—0
Alto: Orchestrating Distributed Compound AI Systems with Nested Ancestry—0
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