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Showing 926–950 of 3104 papers

TitleStatusHype
Distributed Multi-Head Learning Systems for Power Consumption Prediction—0
Distributed Multi-Objective Dynamic Offloading Scheduling for Air-Ground Cooperative MEC—0
Collaborative Pure Exploration in Kernel Bandit—0
Distributed Optimal Conservation Voltage Reduction in Integrated Primary-Secondary Distribution Systems—0
Distributed Optimization for Quadratic Cost Functions over Large-Scale Networks with Quantized Communication and Finite-Time Convergence—0
Distributed Resource Allocation for URLLC in IIoT Scenarios: A Multi-Armed Bandit Approach—0
A Novel Feeder-level Microgrid Unit Commitment Algorithm Considering Cold-load Pickup, Phase Balancing, and Reconfiguration—0
Distributed Resource Scheduling for Large-Scale MEC Systems: A Multi-Agent Ensemble Deep Reinforcement Learning with Imitation Acceleration—0
Distributed Scheduling at Non-Signalized Intersections with Mixed Cooperative and Non-Cooperative Vehicles—0
Age of Information Aware VNF Scheduling in Industrial IoT Using Deep Reinforcement Learning—0
Distributed Sequential Receding Horizon Control of Multi-Agent Systems under Recurring Signal Temporal Logic—0
Distributed Stochastic Gradient Descent with Staleness: A Stochastic Delay Differential Equation Based Framework—0
Distributed Value of Information in Feedback Control over Multi-hop Networks—0
Fast Distributed Stochastic Scheduling for A Multi-Energy Industrial Park—0
Distributionally Robust Day-ahead Scheduling for Power-traffic Network under a Potential Game Framework—0
A batching and scheduling optimisation for a cutting work-center: Acta-Mobilier case study—0
Distribution-aware Online Continual Learning for Urban Spatio-Temporal Forecasting—0
Distribution Locational Marginal Emission for Carbon Alleviation in Distribution Networks: Formulation, Calculation, and Implication—0
Distribution Locational Marginal Pricing Under Uncertainty Considering Coordination of Distribution and Wholesale Markets—0
Diverse Target and Contribution Scheduling for Domain Generalization—0
Diversification Methods for Zero-One Optimization—0
Divide-Conquer Transformer Learning for Predicting Electric Vehicle Charging Events Using Smart Meter Data—0
AutoLoss: Learning Discrete Schedule for Alternate Optimization—0
DL-DRL: A double-level deep reinforcement learning approach for large-scale task scheduling of multi-UAV—0
DRF Codes: Deep SNR-Robust Feedback Codes—0
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