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Scheduling

Project or Job Scheduling

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Showing 1901–1950 of 3104 papers

TitleStatusHype
Utilizing Device-level Demand Forecasting for Flexibility Markets - Full Version—0
Utilizing Out-Domain Datasets to Enhance Multi-Task Citation Analysis—0
Value-Based Reinforcement Learning for Digital Twins in Cloud Computing—0
Value Function Based Performance Optimization of Deep Learning Workloads—0
Value of Fleet Vehicle Grid in Providing Transmission System Operator Services—0
Value of Information and Timing-aware Scheduling for Federated Learning—0
Value of information in networked control systems subject to delay—0
Value of Optimal Trip and Charging Scheduling of Commercial Electric Vehicle Fleets with Vehicle-to-Grid in Future Low Inertia Systems—0
Value of structural health information in partially observable stochastic environments—0
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
Whittle Index Policy for Crawling Ephemeral Content—0
Whittle's index-based age-of-information minimization in multi-energy harvesting source networks—0
Windex: Realtime Neural Whittle Indexing for Scalable Service Guarantees in NextG Cellular Networks—0
Wireless Communications for Collaborative Federated Learning—0
Wireless Federated Learning over MIMO Networks: Joint Device Scheduling and Beamforming Design—0
Wireless Link Scheduling via Interference-aware Symmetric Positive Definite Connectivity Manifolds—0
WiSoSuper: Benchmarking Super-Resolution Methods on Wind and Solar Data—0
World Model-Based Learning for Long-Term Age of Information Minimization in Vehicular Networks—0
Worst-Case Services and State-Based Scheduling—0
xApp Conflict Mitigation with Scheduler—0
YSF: A 6TiSCH Scheduling Function Minimizing Latency of Data Gathering in IIoT—0
Zygarde: Time-Sensitive On-Device Deep Inference and Adaptation on Intermittently-Powered Systems—0
Learning to Minimize Age of Information over an Unreliable Channel with Energy Harvesting—0
Learning to Multi-Task Learn for Better Neural Machine Translation—0
Learning to Optimize Industry-Scale Dynamic Pickup and Delivery Problems—0
Learning to Optimize Permutation Flow Shop Scheduling via Graph-based Imitation Learning—0
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