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Glare-based control strategy for Venetian blinds in a mixed-use conference space with fully glazed facades
Automatic enhancement of vascular configuration for self-healing concrete through reinforcement learning approach
A multi-objective optimization and multi-attribute decision-making analysis for technical-thermodynamic-economic evaluation considering the rock damage on production performance of hot dry rock geothermal resources
Synchronized optimization of wind farm start-stop and yaw control based on 3D wake model
High-Confidence Data-Driven Ambiguity Sets for Time-Varying Linear Systems
Statistically Distinct Plans for Multi-Objective Task Assignment
Improving Traffic Efficiency With Lane Guidance Based on Desired Speeds
Generalized Model and Deep Reinforcement Learning-Based Evolutionary Method for Multitype Satellite Observation Scheduling
Optimizing the chemical vapor deposition process of 4H–SiC epitaxial layer growth with machine-learning-assisted multiphysics simulations
Learning-Based Multi-UAV Flocking Control With Limited Visual Field and Instinctive Repulsion
EV Smart Charging in Distribution Grids - Experimental evaluation using Hardware in the Loop Setup
Machine learning in process systems engineering: Challenges and opportunities
Coordination and Optimization Control Framework for Vessels Platooning in Inland Waterborne Transportation System
Dynamic Optimization Fabrics for Motion Generation
EdgeBOL: A Bayesian Learning Approach for the Joint Orchestration of vRANs and Mobile Edge AI
The optimal electrode pore size and channel width in electrochemical flow cells
Optimal Selection and Tracking of Generalized Nash Equilibria in Monotone Games
Data-driven Abstractions for Verification of Linear Systems
Learning to Play Trajectory Games Against Opponents with Unknown Objectives
Reinforcement Learning for Intelligent Healthcare Systems: A Review of Challenges, Applications, and Open Research Issues
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