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Showing 651–675 of 3104 papers

TitleStatusHype
Dynamic operator management in meta-heuristics using reinforcement learning: an application to permutation flowshop scheduling problems—0
Earth Observation Satellite Scheduling with Graph Neural Networks—0
SiHGNN: Leveraging Properties of Semantic Graphs for Efficient HGNN Acceleration—0
FCDM: A Physics-Guided Bidirectional Frequency Aware Convolution and Diffusion-Based Model for Sinogram Inpainting—0
Integrated Sensing, Communication, and Powering over Multi-antenna OFDM Systems—0
Resource Efficient Asynchronous Federated Learning for Digital Twin Empowered IoT Network—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
HAPM -- Hardware Aware Pruning Method for CNN hardware accelerators in resource constrained devices—0
A proof of contribution in blockchain using game theoretical deep learning model—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
A Web-Based Solution for Federated Learning with LLM-Based Automation—0
A Constraint Programming Approach to Fair High School Course Scheduling—0
AutoDirector: Online Auto-scheduling Agents for Multi-sensory Composition—0
MARLIN: Mixed-Precision Auto-Regressive Parallel Inference on Large Language ModelsCode5
Multi-level Monte-Carlo Gradient Methods for Stochastic Optimization with Biased Oracles—0
MegaFusion: Extend Diffusion Models towards Higher-resolution Image Generation without Further TuningCode2
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
A Population-to-individual Tuning Framework for Adapting Pretrained LM to On-device User Intent PredictionCode0
No Screening is More Efficient with Multiple Objects—0
Demystifying Reinforcement Learning in Production Scheduling via Explainable AI—0
The Practimum-Optimum Algorithm for Manufacturing Scheduling: A Paradigm Shift Leading to Breakthroughs in Scale and Performance—0
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