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Showing 1076–1100 of 3104 papers

TitleStatusHype
Enhance Low-Carbon Power System Operation via Carbon-Aware Demand Response—0
The Case for Developing a Foundation Model for Planning-like Tasks from Scratch—0
A Block-Coordinate Descent EMO Algorithm: Theoretical and Empirical Analysis—0
Formulating the Restoration of Distribution Networks as a Multiple Traveling Salesman Problem—0
Joint Optimization on Uplink OFDMA and MU-MIMO for IEEE 802.11ax: Deep Hierarchical Reinforcement Learning Approach—0
On the reduction of Linear Parameter-Varying State-Space models—0
Orchestrating UAVs for Prioritized Data Harvesting: A Cross-Layer Optimization Perspective—0
Beyond Suspension: A Two-phase Methodology for Concluding Sports Leagues—0
Gain-Only Neural Operators for PDE Backstepping—0
Impact of Employing Weather Forecast Data as Input to the Estimation of Evapotranspiration by Deep Neural Network Models—0
CoBOS: Constraint-Based Online Scheduler for Human-Robot CollaborationCode0
Intent-Aware DRL-Based NOMA Uplink Dynamic Scheduler for IIoTCode0
ALISA: Accelerating Large Language Model Inference via Sparsity-Aware KV Caching—0
Imitating Cost-Constrained Behaviors in Reinforcement LearningCode0
A Distributionally Robust Model Predictive Control for Static and Dynamic Uncertainties in Smart Grids—0
Decoupling parameter variation from noise: Biquadratic Lyapunov forms in data-driven LPV control—0
Scheduling Power-Intensive Operations of Battery Energy Storage Systems and Application to Hybrid Hydropower Plants—0
AIOS: LLM Agent Operating SystemCode0
Optimal Operation of Reconfigurable Active Distribution Networks Aiming at Resiliency Improvement—0
Semantic-Aware Remote Estimation of Multiple Markov Sources Under Constraints—0
L-MAE: Longitudinal masked auto-encoder with time and severity-aware encoding for diabetic retinopathy progression prediction—0
Interpretable Modeling of Deep Reinforcement Learning Driven Scheduling—0
A Codesign of Scheduling and Parallelization for Large Model Training in Heterogeneous Clusters—0
Ev-Edge: Efficient Execution of Event-based Vision Algorithms on Commodity Edge Platforms—0
Divide-Conquer Transformer Learning for Predicting Electric Vehicle Charging Events Using Smart Meter Data—0
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