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Scheduling

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Showing 2501–2525 of 3104 papers

TitleStatusHype
Variable Annealing Length and Parallelism in Simulated Annealing—0
Variance-Aware Loss Scheduling for Multimodal Alignment in Low-Data Settings—0
Variational Bayesian Inference Clustering Based Joint User Activity and Data Detection for Grant-Free Random Access in mMTC—0
Variational Optimization of Annealing Schedules—0
Vehicle management in a modular production context using Deep Q-Learning—0
Vehicle Routing and Scheduling for Regular Mobile Healthcare Services—0
Vehicular Blockage Modelling and Performance Analysis for mmWave V2V Communications—0
Version age-based client scheduling policy for federated learning—0
Vibration Sensor Dataset for Estimating Fan Coil Motor Health—0
Video Object Detection via Object-level Temporal Aggregation—0
VINet: Visual and Inertial-based Terrain Classification and Adaptive Navigation over Unknown Terrain—0
Virtual Inertia Scheduling for Power Systems with High Penetration of Inverter-based Resources—0
Virtual Mouse And Assistant: A Technological Revolution Of Artificial Intelligence—0
VMAV-C: A Deep Attention-based Reinforcement Learning Algorithm for Model-based Control—0
Voltage Stability Constrained Unit Commitment in High IBG-Penetrated Power Systems—0
VRLS: A Unified Reinforcement Learning Scheduler for Vehicle-to-Vehicle Communications—0
WaveTransfer: A Flexible End-to-end Multi-instrument Timbre Transfer with Diffusion—0
Web-Based Implementation of Travelling Salesperson Problem Using Genetic Algorithm—0
Weekly maintenance scheduling using exact and genetic methods—0
Weight Decay Scheduling and Knowledge Distillation for Active Learning—0
Weighted Age of Information based Scheduling for Large Population Games on Networks—0
Weighted Sum Age of Information Minimization in Wireless Networks with Aerial IRS—0
WHALE-FL: Wireless and Heterogeneity Aware Latency Efficient Federated Learning over Mobile Devices via Adaptive Subnetwork Scheduling—0
When Computing Power Network Meets Distributed Machine Learning: An Efficient Federated Split Learning Framework—0
When Multiple Agents Learn to Schedule: A Distributed Radio Resource Management Framework—0
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