Kaiming Yang

A review of uncertainty quantification in deep learning: Techniques, applications and challenges

Modeling and Planning Under Uncertainty Using Deep Neural Networks

Regulatory and voluntary approaches for enhancing building energy efficiency

Heating energy consumption and resulting environmental impact of European apartment buildings

Composite Learning Robot Control With Friction Compensation: A Neural Network-Based Approach

Recent advances in artificial intelligence and machine learning for nonlinear relationship analysis and process control in drinking water treatment: A review

Energy conservation of buildings in Taiwan

Neural Network Learning Adaptive Robust Control of an Industrial Linear Motor-Driven Stage With Disturbance Rejection Ability