Orestis P. Panagopoulos
- A low-complexity non-intrusive approach to predict the energy demand of buildings over short-term horizons. Dans: Advances in Building Energy Research, v. 16, n. 2 (janvier 2021). (2021):
- Settlement Prediction Using Support Vector Machine (SVM)-Based Compressibility Models: A Case Study. Dans: International Journal of Civil Engineering, v. 17, n. 10 (mars 2019). (2019):
- Soil-Compressibility Prediction Models Using Machine Learning. Dans: Journal of Computing in Civil Engineering, v. 32, n. 1 (janvier 2018). (2018):