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Scheduling

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Showing 2501–2550 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
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
Zero-energy Devices for 6G: Technical Enablers at a Glance—0
Gaining Extra Supervision via Multi-task learning for Multi-Modal Video Question Answering—0
Budgeted Policy Learning for Task-Oriented Dialogue Systems—0
Decentralized Deep Reinforcement Learning for Delay-Power Tradeoff in Vehicular Communications—0
1-Bit Compressive Sensing for Efficient Federated Learning Over the Air—0
A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks—0
Modular RAG: Transforming RAG Systems into LEGO-like Reconfigurable Frameworks—0
Load Balancing in Federated Learning—0
The Energy Cost of Artificial Intelligence Lifecycle in Communication Networks—0
Deep progressive reinforcement learning-based flexible resource scheduling framework for IRS and UAV-assisted MEC system—0
TreeCSS: An Efficient Framework for Vertical Federated Learning—0
Strategic Federated Learning: Application to Smart Meter Data Clustering—0
An energy-efficient learning solution for the Agile Earth Observation Satellite Scheduling Problem—0
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