Items where Author is "Ali, Mujahid"

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Number of items: 11.

Article

Ali, Mujahid and Kumar, Abhinav and Yvaz, A. and Salah, Bashir (2023) Central composite design application in the optimization of the effect of pumice stone on lightweight concrete properties using RSM. Case Studies in Construction Materials, 18. ISSN 2214-5095, DOI https://doi.org/10.1016/j.cscm.2023.e01958.

Ali, Mujahid and Khan, Muhammad Imran and Masood, Faisal and Alsulami, Badr T. and Bouallegue, Belgacem and Nawaz, Rab and Fediuk, Roman (2022) Central composite design application in the optimization of the effect of waste foundry sand on concrete properties using RSM. Stuctures, 46. pp. 1581-1594. ISSN 2352-0124, DOI https://doi.org/10.1016/j.istruc.2022.11.013.

Birniwa, Abdullahi Haruna and Mohammad, Rania Edrees Adam and Ali, Mujahid and Rehman, Muhammad Faisal and Abdullahi, Shehu Sa'ad and Eldin, Sayed M. and Mamman, Suwaiba and Sadiq, Abubakar Chadi and Jagaba, Ahmad Hussaini (2022) Synthesis of gum Arabic magnetic nanoparticles for adsorptive removal of ciprofloxacin: Equilibrium, kinetic, thermodynamics studies, and optimization by response surface methodology. Separations, 9 (10). ISSN 2297-8739, DOI https://doi.org/10.3390/separations9100322.

Khan, Muhammad Imran and Sutanto, Muslich Hartadi and Yusoff, Nur Izzi Md. and Zoorob, Salah E. and Rafiq, Waqas and Ali, Mujahid and Fediuk, Roman and Vatin, Nikolai Ivanovich (2022) Cementitious grouts for semi-flexible pavement surfaces-A review. Materials, 15 (15). ISSN 1996-1944, DOI https://doi.org/10.3390/ma15155466.

Dai, Li and Wu, Xu and Zhou, Meirong and Ahmad, Waqas and Ali, Mujahid and Sabri, Mohanad Muayad Sabri and Salmi, Abdelatif and Ewais, Dina Yehia Zakaria (2022) Using machine learning algorithms to estimate the compressive property of high strength fiber reinforced concrete. Materials, 15 (13). ISSN 1996-1944, DOI https://doi.org/10.3390/ma15134450.

Wang, Jiangfeng and Mohammed, Ahmed Salih and Macioszek, Elzbieta and Ali, Mujahid and Ulrikh, Dmitrii Vladimirovich and Fang, Qiancheng (2022) A novel combination of PCA and machine learning techniques to select the most important factors for predicting tunnel construction performance. Buildings, 12 (7). ISSN 2075-5309, DOI https://doi.org/10.3390/buildings12070919.

Zhu, Lidong and Ali, Mujahid and Macioszek, Elzbieta and Aghaabbasi, Mandi and Jan, Amin (2022) Approaching Sustainable Bike-Sharing Development: A Systematic Review of the Influence of Built Environment Features on Bike-Sharing Ridership. Sustainability, 14 (10). ISSN 20711050, DOI https://doi.org/10.3390/su14105795.

Hakro, Muhammad Rehan and Kumar, Aneel and Ali, Mujahid and Habib, Agha Faisal and de Azevedo, Afonso R. G. and Fediuk, Roman and Sabri, Mohanad Muayad Sabri and Salmi, Abdelatif and Awad, Youssef Ahmed (2022) Numerical analysis of shallow foundations with varying loading and soil conditions. Buildings, 12 (5). ISSN 2075-5309, DOI https://doi.org/10.3390/buildings12050693.

Tao, Wenlong and Aghaabbasi, Mahdi and Ali, Mujahid and Almaliki, Abdulrazak H. and Zainol, Rosilawati and Almaliki, Abdulrhman A. and Hussein, Enas E. (2022) An advanced machine learning approach to predicting pedestrian fatality caused by road crashes: A step toward sustainable pedestrian safety. Sustainability, 14 (4). ISSN 2071-1050, DOI https://doi.org/10.3390/su14042436.

Chen, Yu and Aghaabbasi, Mahdi and Ali, Mujahid and Anciferov, Sergey and Sabitov, Linar and Chebotarev, Sergey and Nabiullina, Karina and Sychev, Evgeny and Fediuk, Roman and Zainol, Rosilawati (2022) Hybrid Bayesian network models to investigate the impact of built environment experience before adulthood on students' tolerable travel time to campus: Towards sustainable commute behavior. Sustainability, 14 (1). ISSN 2071-1050, DOI https://doi.org/10.3390/su14010325.

Qian, Yufeng and Aghaabbasi, Mahdi and Ali, Mujahid and Alqurashi, Muwaffaq and Salah, Bashir and Zainol, Rosilawati and Moeinaddini, Mehdi and Hussein, Enas E. (2021) Classification of imbalanced travel mode choice to work data using adjustable SVM model. Applied Sciences-Basel, 11 (24). ISSN 2076-3417, DOI https://doi.org/10.3390/app112411916.

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