Mallika Kliangkhlao 
- (2024): Electrodermal activity and heart rate variability–driven personal thermal comfort prediction and explanation. In: Building and Environment, v. 265 (November 2024).
- (2023): Personal thermal comfort prediction using multi-physiological sensors: The design and development of deep neural network models based on individual preferences. In: Building and Environment, v. 245 (November 2023).
- (2023): Deep Learning-Driven Automated Fault Detection and Diagnostics Based on a Contextual Environment: A Case Study of HVAC System. In: Buildings, v. 13, n. 1 (13 January 2023).
Structurae cooperates with
