| Predictive modeling for compressive strength of 3D printed fiber-reinforced concrete using machine learning algorithms M Alyami, M Khan, M Fawad, R Nawaz, AWA Hammad, T Najeh, Y Gamil Case Studies in Construction Materials 20, e02728, 2024 | 57 | 2024 |
| Machine learning-driven predictive models for compressive strength of steel fiber reinforced concrete subjected to high temperatures R Alyousef, MF Rehman, M Khan, M Fawad, AU Khan, AM Hassan, ... Case Studies in Construction Materials 19, e02418, 2023 | 46 | 2023 |
| Estimating compressive strength of concrete containing rice husk ash using interpretable machine learning-based models M Alyami, M Khan, AWA Hammad, H Alabduljabbar, R Nawaz, M Fawad, ... Case Studies in Construction Materials 20, e02901, 2024 | 41 | 2024 |
| Effect of near and far field earthquakes on performance of various base isolation systems BL Khan, M Azeem, M Usman, SH Farooq, A Hanif, M Fawad Procedia Structural Integrity 18, 108-118, 2019 | 36 | 2019 |
| Forecasting the strength characteristics of concrete incorporating waste foundry sand using advance machine algorithms including deep learning R Alyousef, M Khan, K Arif, M Fawad, AM Hassan, NA Ghamry Case Studies in Construction Materials 19, e02459, 2023 | 31 | 2023 |
| A hybrid data-driven and metaheuristic optimization approach for the compressive strength prediction of high-performance concrete M Imran, RA Khushnood, M Fawad Case Studies in Construction Materials 18, e01890, 2023 | 27 | 2023 |
| Predictive modeling for depth of wear of concrete modified with fly ash: A comparative analysis of genetic programming-based algorithms A Khan, M Khan, M Ali, M Khan, AU Khan, M Shakeel, M Fawad, T Najeh, ... Case Studies in Construction Materials 20, e02744, 2024 | 24 | 2024 |
| Automation of structural health monitoring (SHM) system of a bridge using BIMification approach and BIM-based finite element model development M Fawad, M Salamak, G Poprawa, K Koris, M Jasinski, P Lazinski, ... Scientific Reports 13 (1), 13215, 2023 | 19 | 2023 |
| Boosting-based ensemble machine learning models for predicting unconfined compressive strength of geopolymer stabilized clayey soil GMS Abdullah, M Ahmad, M Babur, MU Badshah, RA Al-Mansob, Y Gamil, ... Scientific Reports 14 (1), 2323, 2024 | 17 | 2024 |
| Predicting the properties of concrete incorporating graphene nano platelets by experimental and machine learning approaches R Alyousef, M Fawad, F Farooq, Y Gamil, T Najeh Case studies in construction materials 20, e03018, 2024 | 16 | 2024 |
| Comparative analysis of various machine learning algorithms to predict strength properties of sustainable green concrete containing waste foundry sand MF Javed, M Khan, M Fawad, H Alabduljabbar, T Najeh, Y Gamil Scientific Reports 14 (1), 14617, 2024 | 14 | 2024 |
| Nonlinear modelling of a bridge: A case study-based damage evaluation and proposal of Structural Health Monitoring (SHM) system M Fawad, K Koris, M Salamak, M Gerges, L Bednarski, R Sienko Archives of Civil Engineering, 1230-2945 66 (3), 569-584-569-584, 2022 | 13 | 2022 |
| Forecasting the strength of nanocomposite concrete containing carbon nanotubes by interpretable machine learning approaches with graphical user interface T Li, J Yang, P Jiang, MA Abuhussain, A Zaman, M Fawad, F Farooq Structures 59, 105821, 2024 | 12 | 2024 |
| Implementation of digital twin and support vector machine in structural health monitoring of bridges AZO Al-Hijazeen, M Fawad, M Gerges, K Koris, M Salamak Archives of Civil Engineering, 31-47-31-47, 2023 | 11 | 2023 |
| Retrofitting of damaged reinforced concrete bridge structure M Fawad, K Kalman, RA Khushnood, M Usman Procedia Structural Integrity 18, 189-197, 2019 | 9 | 2019 |
| Seismic performance evaluation of exterior reinforced concrete beam-column connections retrofitted with economical perforated steel haunches M Sahil, A Bahrami, HA Waqas, F Amin, MM Khan, F Iqbal, M Fawad, ... Results in Engineering 22, 102179, 2024 | 5 | 2024 |
| Integration of bridge health monitoring system with augmented reality application developed using 3D game engine–Case Study M Fawad, M Salamak, MU Hanif, K Koris, M Ahsan, H Rahman, M Gerges, ... IEEE Access 12, 16963-16974, 2024 | 5 | 2024 |
| Indirect prediction of graphene nanoplatelets-reinforced cementitious composites compressive strength by using machine learning approaches M Fawad, H Alabduljabbar, F Farooq, T Najeh, Y Gamil, B Ahmed Scientific Reports 14 (1), 14252, 2024 | 4 | 2024 |
| Forecasting the strength of preplaced aggregate concrete using interpretable machine learning approaches MF Javed, M Fawad, R Lodhi, T Najeh, Y Gamil Scientific reports 14 (1), 8381, 2024 | 4 | 2024 |
| Development of immersive bridge digital twin platform to facilitate bridge damage assessment and asset model updates M Fawad, M Salamak, Q Chen, M Uscilowski, K Koris, M Jasinski, ... Computers in Industry 164, 104189, 2025 | 3 | 2025 |
Marek SalamakPolitechnika Śląska, Silesian University of TechnologyOverená e-mailová adresa na: polsl.pl