Hitham Alhussian
- Computational modelling for predicting rheological properties of composite modified asphalt binders. Dans: Case Studies in Construction Materials, v. 19 (décembre 2023). (2023):
- Utilization of response surface methodology and machine learning for predicting and optimizing mixing and compaction temperatures of bio-modified asphalt. Dans: Case Studies in Construction Materials, v. 18 (juillet 2023). (2023):
- Predicting the rutting parameters of nanosilica/waste denim fiber composite asphalt binders using the response surface methodology and machine learning methods. Dans: Construction and Building Materials, v. 363 (janvier 2023). (2023):