| A novel approach in forecasting compressive strength of concrete with carbon nanotubes as nanomaterials H Jiao, Y Wang, L Li, K Arif, F Farooq, A Alaskar Materials Today Communications 35, 106335, 2023 | 33 | 2023 |
| 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 | 30 | 2023 |
| Estimation of compressive strength of waste concrete utilizing fly ash/slag in concrete with interpretable approaches: optimization and graphical user interface (GUI) Y Dodo, K Arif, M Alyami, M Ali, T Najeh, Y Gamil Scientific Reports 14 (1), 4598, 2024 | 12 | 2024 |
| Novel base predictive model of resilient modulus of compacted subgrade soils by using interpretable approaches with graphical user interface L Alkhattabi, K Arif Materials Today Communications 40, 109764, 2024 | 5 | 2024 |
| Machine learning approaches to predict the strength of graphene nanoplatelets concrete: Optimization and hyper tuning with graphical user interface TS Alahmari, K Arif Materials Today Communications 40, 109946, 2024 | 3 | 2024 |
| Interaction of activity travel, GHG emissions, and health parameters using R–A Step towards sustainable transportation system M Ali, E Macioszek, K Onyelowe, CW Yuen, K Arif Ain Shams Engineering Journal 15 (12), 103050, 2024 | 2 | 2024 |
| Genetic programming-based algorithms application in modeling the compressive strength of steel fiber-reinforced concrete exposed to elevated temperatures M Ali, L Chen, QBAIL Qureshi, DM Alsekait, A Khan, K Arif, M Luqman, ... Composites Part C: Open Access 15, 100529, 2024 | 1 | 2024 |
Furqan FarooqNational University of Sciences and TechnologyVerifierad e-postadress på nice.nust.edu.pk