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Scheduling

Project or Job Scheduling

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Showing 601–650 of 3104 papers

TitleStatusHype
Adaptive Knowledge-based Multi-Objective Evolutionary Algorithm for Hybrid Flow Shop Scheduling Problems with Multiple Parallel Batch Processing Stages—0
Token Caching for Diffusion Transformer Acceleration—0
A Fast Dynamic Internal Predictive Power Scheduling Approach for Power Management in Microgrids—0
Asynchronous Fractional Multi-Agent Deep Reinforcement Learning for Age-Minimal Mobile Edge Computing—0
Medha: Efficiently Serving Multi-Million Context Length LLM Inference Requests Without Approximations—0
PitRSDNet: Predicting Intra-operative Remaining Surgery Duration in Endoscopic Pituitary Surgery—0
AI-Driven Risk-Aware Scheduling for Active Debris Removal Missions—0
Energy-Aware Federated Learning in Satellite Constellations—0
PecSched: Preemptive and Efficient Cluster Scheduling for LLM Inference—0
UAV-Enabled Data Collection for IoT Networks via Rainbow Learning—0
An Evolutionary Algorithm For the Vehicle Routing Problem with Drones with Interceptions—0
Noise-Robust and Resource-Efficient ADMM-based Federated Learning—0
A User Study on Contrastive Explanations for Multi-Effector Temporal Planning with Non-Stationary Costs—0
Scalable Multi-agent Reinforcement Learning for Factory-wide Dynamic Scheduling—0
ReLU Surrogates in Mixed-Integer MPC for Irrigation Scheduling—0
Reinforcement Learning as an Improvement Heuristic for Real-World Production Scheduling—0
Secure Control Systems for Autonomous Quadrotors against Cyber-AttacksCode0
A novel pedestrian road crossing simulator for dynamic traffic light scheduling systems—0
Optimizing Job Shop Scheduling in the Furniture Industry: A Reinforcement Learning Approach Considering Machine Setup, Batch Variability, and Intralogistics—0
Exploiting Beam-Split in IRS-aided Systems via OFDMA—0
Offline Reinforcement Learning for Learning to Dispatch for Job Shop SchedulingCode0
OIDM: An Observability-based Intelligent Distributed Edge Sensing Method for Industrial Cyber-Physical Systems—0
Proactive and Reactive Constraint Programming for Stochastic Project Scheduling with Maximal Time-LagsCode0
Developing an Algorithm Selector for Green Configuration in Scheduling Problems—0
Low carbon optimal scheduling of integrated energy system considering waste heat utilization under the coordinated operation of incineration power plant and P2G—0
Machine Learning and Constraint Programming for Efficient Healthcare Scheduling—0
Adaptive Probabilistic Planning for the Uncertain and Dynamic Orienteering ProblemCode0
State-Novelty Guided Action Persistence in Deep Reinforcement Learning—0
WaveTransfer: A Flexible End-to-end Multi-instrument Timbre Transfer with Diffusion—0
Parallel AutoRegressive Models for Multi-Agent Combinatorial OptimizationCode1
Differentiable Discrete Event Simulation for Queuing Network Control—0
Spindle: Efficient Distributed Training of Multi-Task Large Models via Wavefront Scheduling—0
Cost Estimation in Unit Commitment Problems Using Simulation-Based Inference—0
TRACE-CS: A Synergistic Approach to Explainable Course Scheduling Using LLMs and LogicCode0
TS-EoH: An Edge Server Task Scheduling Algorithm Based on Evolution of Heuristic—0
Decision Transformer for Enhancing Neural Local Search on the Job Shop Scheduling Problem—0
LASP: Surveying the State-of-the-Art in Large Language Model-Assisted AI Planning—0
Throughput Optimization in Cache-aided Networks: An Opportunistic Probing and Scheduling Approach—0
CyberCortex.AI: An AI-based Operating System for Autonomous Robotics and Complex Automation—0
Solving Integrated Process Planning and Scheduling Problem via Graph Neural Network Based Deep Reinforcement LearningCode1
Trust And Balance: Few Trusted Samples Pseudo-Labeling and Temperature Scaled Loss for Effective Source-Free Unsupervised Domain Adaptation—0
AdaNAT: Exploring Adaptive Policy for Token-Based Image GenerationCode1
SafeTail: Efficient Tail Latency Optimization in Edge Service Scheduling via Computational Redundancy Management—0
Fair Best Arm Identification with Fixed ConfidenceCode0
A Distance Similarity-based Genetic Optimization Algorithm for Satellite Ground Network Planning Considering Feeding Mode—0
High-Dimensional Sparse Data Low-rank Representation via Accelerated Asynchronous Parallel Stochastic Gradient Descent—0
Adversarial Network Optimization under Bandit Feedback: Maximizing Utility in Non-Stationary Multi-Hop Networks—0
Large-Scale Demand Prediction in Urban Rail using Multi-Graph Inductive Representation Learning—0
Efficient LLM Scheduling by Learning to RankCode2
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
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