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