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Showing 1901–1925 of 3104 papers

TitleStatusHype
Optimizing the Long-Term Behaviour of Deep Reinforcement Learning for Pushing and Grasping—0
Standardized feature extraction from pairwise conflicts applied to the train rescheduling problem—0
Spatio-Temporal Dynamic Graph Relation Learning for Urban Metro Flow Prediction—0
Online Feedback Droop Scheduling in Distribution Grids for Frequency and Local Voltage Control—0
Normalizing Flow-based Day-Ahead Wind Power Scenario Generation for Profitable and Reliable Delivery Commitments by Wind Farm Operators—0
Logistics in the Sky: A Two-phase Optimization Approach for the Drone Package Pickup and Delivery System—0
Switched Max-Plus Linear-Dual Inequalities: Application in Scheduling of Multi-Product Processing Networks—0
Downlink Channel Covariance Matrix Reconstruction for FDD Massive MIMO Systems with Limited Feedback—0
A probabilistic scheduling algorithm for networked control systems—0
Exploiting Single-Channel Speech for Multi-Channel End-to-End Speech Recognition: A Comparative Study—0
Human-AI Collaboration Enables More Empathic Conversations in Text-based Peer-to-Peer Mental Health Support—0
Solving Disjunctive Temporal Networks with Uncertainty under Restricted Time-Based Controllability using Tree Search and Graph Neural Networks—0
Novel ensemble collaboration method for dynamic scheduling problems—0
Distributed Link Sparsification for Scalable Scheduling Using Graph Neural NetworksCode0
Research on Flexibility Margin of Electric-Hydrogen Coupling Energy Block Based on Model Predictive Control—0
Mobile Wireless Rechargeable UAV Networks: Challenges and Solutions—0
Bidding and Scheduling in Energy Markets: Which Probabilistic Forecast Do We Need?—0
Efficient Hardware Acceleration of Sparsely Active Convolutional Spiking Neural Networks—0
Exact methods and lower bounds for the Oven Scheduling Problem—0
Joint Covering Congestion Rents in Multi-area Power Systems Considering Loop Flow Effects—0
GradViT: Gradient Inversion of Vision TransformersCode0
Randomized Sharpness-Aware Training for Boosting Computational Efficiency in Deep Learning—0
Koopman-based Differentiable Predictive Control for the Dynamics-Aware Economic Dispatch Problem—0
Explaining Preference-driven Schedules: the EXPRES Framework—0
Reinforcement Learning for Optimal Control of a District Cooling Energy Plant—0
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