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Showing 851–900 of 3104 papers

TitleStatusHype
Offline Reinforcement Learning for Learning to Dispatch for Job Shop SchedulingCode0
Exploiting Beam-Split in IRS-aided Systems via OFDMA—0
Proactive and Reactive Constraint Programming for Stochastic Project Scheduling with Maximal Time-LagsCode0
OIDM: An Observability-based Intelligent Distributed Edge Sensing Method for Industrial Cyber-Physical Systems—0
Developing an Algorithm Selector for Green Configuration in Scheduling Problems—0
Machine Learning and Constraint Programming for Efficient Healthcare Scheduling—0
Low carbon optimal scheduling of integrated energy system considering waste heat utilization under the coordinated operation of incineration power plant and P2G—0
State-Novelty Guided Action Persistence in Deep Reinforcement Learning—0
Adaptive Probabilistic Planning for the Uncertain and Dynamic Orienteering ProblemCode0
WaveTransfer: A Flexible End-to-end Multi-instrument Timbre Transfer with Diffusion—0
Differentiable Discrete Event Simulation for Queuing Network Control—0
TRACE-CS: A Synergistic Approach to Explainable Course Scheduling Using LLMs and LogicCode0
Cost Estimation in Unit Commitment Problems Using Simulation-Based Inference—0
Spindle: Efficient Distributed Training of Multi-Task Large Models via Wavefront Scheduling—0
Decision Transformer for Enhancing Neural Local Search on the Job Shop Scheduling Problem—0
TS-EoH: An Edge Server Task Scheduling Algorithm Based on Evolution of Heuristic—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
Trust And Balance: Few Trusted Samples Pseudo-Labeling and Temperature Scaled Loss for Effective Source-Free Unsupervised Domain Adaptation—0
SafeTail: Efficient Tail Latency Optimization in Edge Service Scheduling via Computational Redundancy Management—0
Fair Best Arm Identification with Fixed ConfidenceCode0
High-Dimensional Sparse Data Low-rank Representation via Accelerated Asynchronous Parallel Stochastic Gradient Descent—0
A Distance Similarity-based Genetic Optimization Algorithm for Satellite Ground Network Planning Considering Feeding Mode—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
Dynamic operator management in meta-heuristics using reinforcement learning: an application to permutation flowshop scheduling problems—0
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
SiHGNN: Leveraging Properties of Semantic Graphs for Efficient HGNN Acceleration—0
Earth Observation Satellite Scheduling with Graph Neural Networks—0
HAPM -- Hardware Aware Pruning Method for CNN hardware accelerators in resource constrained devices—0
Resource Efficient Asynchronous Federated Learning for Digital Twin Empowered IoT Network—0
Integrated Sensing, Communication, and Powering over Multi-antenna OFDM Systems—0
FCDM: A Physics-Guided Bidirectional Frequency Aware Convolution and Diffusion-Based Model for Sinogram Inpainting—0
Vibration Sensor Dataset for Estimating Fan Coil Motor Health—0
Securing FC-RIS and UAV Empowered Multiuser Communications Against a Randomly Flying Eavesdropper—0
A proof of contribution in blockchain using game theoretical deep learning model—0
A Web-Based Solution for Federated Learning with LLM-Based Automation—0
Extraction of Typical Operating Scenarios of New Power System Based on Deep Time Series Aggregation—0
Optimal Dispatch Strategy for a Multi-microgrid Cooperative Alliance Using a Two-Stage Pricing Mechanism—0
Beam Profiling and Beamforming Modeling for mmWave NextG Networks—0
AutoDirector: Online Auto-scheduling Agents for Multi-sensory Composition—0
A Constraint Programming Approach to Fair High School Course Scheduling—0
Multi-level Monte-Carlo Gradient Methods for Stochastic Optimization with Biased Oracles—0
Demystifying Reinforcement Learning in Production Scheduling via Explainable AI—0
No Screening is More Efficient with Multiple Objects—0
A Population-to-individual Tuning Framework for Adapting Pretrained LM to On-device User Intent PredictionCode0
Rationalising data collection for supporting decision making in building energy systems using Value of Information analysisCode0
Mitigating the Stability-Plasticity Dilemma in Adaptive Train Scheduling with Curriculum-Driven Continual DQN Expansion—0
The Practimum-Optimum Algorithm for Manufacturing Scheduling: A Paradigm Shift Leading to Breakthroughs in Scale and Performance—0
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