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Showing 901–950 of 3104 papers

TitleStatusHype
Direct data-driven LPV control of nonlinear systems: An experimental result—0
Direct Data-Driven State-Feedback Control of Linear Parameter-Varying Systems—0
Direct data-driven state-feedback control of general nonlinear systems—0
Directed Acyclic Graph Convolutional Networks—0
Direct Learning for Parameter-Varying Feedforward Control: A Neural-Network Approach—0
DiSCo: Device-Server Collaborative LLM-Based Text Streaming Services—0
DisCO: Portrait Distortion Correction with Perspective-Aware 3D GANs—0
Discovering and Explaining Driver Behaviour under HoS Regulations—0
Discovering dispatching rules using data mining—0
Discrete Differential Evolution Particle Swarm Optimization Algorithm for Energy Saving Flexible Job Shop Scheduling Problem Considering Machine Multi States—0
A novel feed rate scheduling method based on Sigmoid function with chord error and kinematics constraints—0
Discretization and Stabilization of Energy-Based Controller for Period Switching Control and Flexible Scheduling—0
Disruption management for resource-constrained project scheduling—0
Distributed Allocation and Scheduling of Tasks with Cross-Schedule Dependencies for Heterogeneous Multi-Robot Teams—0
Distributed Auto-Learning GNN for Multi-Cell Cluster-Free NOMA Communications—0
Distributed Coordination for Heterogeneous Non-Terrestrial Networks—0
Distributed Coordination of Deferrable Loads: A Real-time Market with Self-fulfilling Forecasts—0
Distributed CPU Scheduling Subject to Nonlinear Constraints—0
Distributed Deep Reinforcement Learning for Intelligent Load Scheduling in Residential Smart Grids—0
Distributed Delay-Tolerant Strategies for Equality-Constraint Sum-Preserving Resource Allocation—0
Distributed Density Filtering for Large-Scale Systems Using Mean-Filed Models—0
Distributed Dual Gradient Tracking for Priority-Considered Load Shedding—0
Distributed Energy and Resource Management for Full-Duplex Dense Small Cells for 5G—0
Distributed Energy Resource Management: All-Time Resource-Demand Feasibility, Delay-Tolerance, Nonlinearity, and Beyond—0
Collaborative Speculative Inference for Efficient LLM Inference Serving—0
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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