- Enhancing visual comfort prediction in space layouts using deep learning models. In: Intelligent Buildings International, v. 15, n. 6 (November 2023). (2023):
- An interactive assessment framework for residential space layouts using pix2pix predictive model at the early-stage building design. In: Smart and Sustainable Built Environment, v. 13, n. 4 (4 Juli 2024). (2024):
- Developing a Pedagogical Framework for an Integrated and BIM-Based High-Performance Design Studio: Experimental Case Study. In: Journal of Architectural Engineering (ASCE), v. 30, n. 1 (März 2024). (2024):
- Development of a Machine Learning Framework Based on Occupant-Related Parameters to Predict Residential Electricity Consumption in the Hot and Humid Climate. In: Energy and Buildings, v. 301 (Dezember 2023). (2023):
- Thermal sensitivity and adaptive comfort in mixed-mode office buildings in humid subtropical climate. In: Building Research & Information, v. 52, n. 6 (März 2024). (2024):
- Façade design of side-lit spaces for different climates and surroundings by machine learning and NSGAIII. In: Building and Environment, v. 245 (November 2023). (2023):
- A novel machine learning-based framework for mapping outdoor thermal comfort. In: Advances in Building Energy Research, v. 17, n. 1 (2 Januar 2023). (2023):
- Indoor environmental quality improvement of student dormitories in Tehran, Iran. In: International Journal of Building Pathology and Adaptation, v. 41, n. 1 (8 März 2023). (2023):
- Room energy demand and thermal comfort predictions in early stages of design based on the Machine Learning methods. In: Intelligent Buildings International, v. 15, n. 1 (August 2021). (2021):
- Application of machine learning in thermal comfort studies: A review of methods, performance and challenges. In: Energy and Buildings, v. 256 (Februar 2022). (2022):
- Energy retrofit techniques: An experimental study of two typical school buildings in Tehran. In: Energy and Buildings, v. 104 (Oktober 2015). (2015):
- A method of partition design for open-plan offices based on daylight performance evaluation. In: Journal of Building Engineering, v. 29 (Mai 2020). (2020):