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Scheduling

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Showing 1026–1050 of 3104 papers

TitleStatusHype
ORGANA: A Robotic Assistant for Automated Chemistry Experimentation and CharacterizationCode1
PolyTOPS: Reconfigurable and Flexible Polyhedral Scheduler—0
ReACT: Reinforcement Learning for Controller Parametrization using B-Spline Geometries—0
Knowledge-Assisted Dual-Stage Evolutionary Optimization of Large-Scale Crude Oil Scheduling—0
Graph Learning-based Fleet Scheduling for Urban Air Mobility under Operational Constraints, Varying Demand & Uncertainties—0
Multi Objective Prioritized Workflow Scheduling Using Deep Reinforcement Based Learning in Cloud ComputingCode0
Boosting Column Generation with Graph Neural Networks for Joint Rider Trip Planning and Crew Shift Scheduling—0
A Deep Q-Learning based Smart Scheduling of EVs for Demand Response in Smart Grids—0
Fairness-Aware Job Scheduling for Multi-Job Federated Learning—0
A full-time scale energy management and battery size optimization for off-grid renewable power to hydrogen systems: A battery energy storage-based grid-forming case in Inner Mongolian—0
Gain Scheduling with a Neural Operator for a Transport PDE with Nonlinear RecirculationCode0
On the Prospects of Incorporating Large Language Models (LLMs) in Automated Planning and Scheduling (APS)—0
Understanding LLMs: A Comprehensive Overview from Training to Inference—0
Answering from Sure to Uncertain: Uncertainty-Aware Curriculum Learning for Video Question Answering—0
Fairness in Serving Large Language ModelsCode3
Joint User Scheduling, Power Allocation, and Rate Control for MC-RSMA in URLLC Services—0
Seamless and multi-resolution energy forecastingCode1
Blind System Identification in Linear Parameter-Varying Systems—0
SuperServe: Fine-Grained Inference Serving for Unpredictable Workloads—0
Goal-Oriented Communication, Estimation, and Control over Bidirectional Wireless Links—0
BiSwift: Bandwidth Orchestrator for Multi-Stream Video Analytics on Edge—0
Online Covering with Multiple Experts—0
A Constraint Programming Model for Scheduling the Unloading of Trains in Ports: Extended—0
Multi-Agent Bandit Learning through Heterogeneous Action Erasure ChannelsCode0
Doubly Perturbed Task Free Continual Learning—0
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