Al Mamun, A.; Gazder, U.; Islam, M.K.; Arifuzzaman, M.; Wahhab, H.A.-A.; Rahman, M.M.
Predicting Indirect Tensile Strength of Rejuvenated Asphalt Mixes Using Machine Learning with High Reclaimed Asphalt Pavement Content. Processes 2025, 13, 1489.
https://doi.org/10.3390/pr13051489
AMA Style
Al Mamun A, Gazder U, Islam MK, Arifuzzaman M, Wahhab HA-A, Rahman MM.
Predicting Indirect Tensile Strength of Rejuvenated Asphalt Mixes Using Machine Learning with High Reclaimed Asphalt Pavement Content. Processes. 2025; 13(5):1489.
https://doi.org/10.3390/pr13051489
Chicago/Turabian Style
Al Mamun, Abdullah, Uneb Gazder, Md Kamrul Islam, Md Arifuzzaman, Hamad Al-Abdul Wahhab, and Muhammad Muhitur Rahman.
2025. "Predicting Indirect Tensile Strength of Rejuvenated Asphalt Mixes Using Machine Learning with High Reclaimed Asphalt Pavement Content" Processes 13, no. 5: 1489.
https://doi.org/10.3390/pr13051489
APA Style
Al Mamun, A., Gazder, U., Islam, M. K., Arifuzzaman, M., Wahhab, H. A.-A., & Rahman, M. M.
(2025). Predicting Indirect Tensile Strength of Rejuvenated Asphalt Mixes Using Machine Learning with High Reclaimed Asphalt Pavement Content. Processes, 13(5), 1489.
https://doi.org/10.3390/pr13051489