1) S. A. Osman, M. Almoshaogeh, A. Jamal, F. Alharbi, A. Al Mojil & M. A Dalhat, Intelligent assessment of pavement condition indices using artificial neural networks, Journal Sustainability, MDPI 2023, 15(1), 561; 28th Dec2022. 2) M. A. Dalhat , Sami A. Osman, Studying the Impact of Aggregates and Mix Volumetric Properties on the Moisture Resistance of Asphalt Concrete Using Artificial Neural Network, Journal of Road Materials and Pavement Design, 19/Jan./2023. 3) M. A. Dalhat , Sami A. Osman, Artifcial Neural Network Modeling of Theoretical Maximum Specifc Gravity for Asphalt Concrete Mix, International Journal of Pavement Research and Technology, Springer Nature Journals. 1st Nov 2022. 4) M. A. Dalhat, Sami A. Osman, Nuhu Dalhat Mu’azu, Omar alagha, Utilization of Oil Sludge as Rejuvenator in Hot-Mix-Asphalt Containing Reclaimed Asphalt Concrete, Journal of Construction and Building Materials,volume 338 , 4 July 2022, 127483, 5) S. A. Osman, A. E. Alluqmani, M. Arifuzzaman, M. O. Aburizaiza, W. K. Sindi and M. S. Alam, Application of Machine Learning for Prediction of Early Seven-Day Strength of Concrete in Factories, IEEE, Sustainability and Resilience, pp. 253-258, Jan 2022. 6) M.A. Dalhat S.A. Osman, Abdul-Aziz A. Alhuraish, Faisal K. Almarshad, Sultan A. Qarwan,Akeem Y. Adesina, Chicken Feather fiber modified hot mix asphalt concrete: Rutting performance, durability, mechanical and olumetric properties, Construction and Building Materials, (0950- 0618), Elsevier, Dec 2019. 7) M.A. Mubarakia, S.A. Osman, and H.E.M Sallama, Evaluating the flexural strength and mode-I fracture toughness of flexible pavement containing RAP: An experimental study, Latin American Journal of Solids and Structures 16(3):e177, March 2019.
