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Researcher of Imam Abdulrahman Bin Faisal University
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 8 Decent Work and Economic Growth -
SDG 9 Industry, Innovation, and Infrastructure -
SDG 11 Sustainable Cities and Communities -
SDG 12 Responsible Consumption and Production
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Dive into the research topics where Sami Khair is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Performance Evaluation of Colored Pavements Using Pigmented Clear Binders
Osman, S. A., Bohassan, J. A., Elsheikh, A. M. & Dalhat, M. A., 2026, (Accepted/In press) In: International Journal of Pavement Research and Technology.Research output: Contribution to journal › Article › peer-review
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Deep learning based identification of rock minerals from un-processed digital microscopic images of undisturbed broken-surfaces
Dalhat, M. A. & Osman, S. A., Jun 2025, In: Artificial Intelligence in Geosciences. 6, 1, 100127.Research output: Contribution to journal › Article › peer-review
Open Access2 Link opens in a new tab Scopus citations -
Artificial Neural Network Modeling of Theoretical Maximum Specific Gravity for Asphalt Concrete Mix
Dalhat, M. A. & Osman, S. A., Mar 2024, In: International Journal of Pavement Research and Technology. 17, 2, p. 406-422 17 p.Research output: Contribution to journal › Article › peer-review
14 Link opens in a new tab Scopus citations -
Intelligent Assessment of Pavement Condition Indices Using Artificial Neural Networks
Osman, S. A., Almoshaogeh, M., Jamal, A., Alharbi, F., Al Mojil, A. & Dalhat, M. A., Jan 2023, In: Sustainability (Switzerland). 15, 1, 561.Research output: Contribution to journal › Article › peer-review
Open Access12 Link opens in a new tab Scopus citations -
Studying the impact of aggregates and mix volumetric properties on the moisture resistance of asphalt concrete using a feed-Forward artificial neural network
Dalhat, M. A. & Osman, S. A., 2023, In: Road Materials and Pavement Design. 24, 11, p. 2737-2758 22 p.Research output: Contribution to journal › Article › peer-review
3 Link opens in a new tab Scopus citations