| A Novel Hybrid Optimization Approach for Fault Detection in Photovoltaic Arrays and Inverters Using AI and Statistical Learning Techniques: A Focus on Sustainable Environment A Abubakar, MM Jibril, CFM Almeida, M Gemignani, MN Yahya, SI Abba Processes 11 (9), 2549, 2023 | 10 | 2023 |
| An overview of streamflow prediction using random forest algorithm MM Jibril, A Bello, II Aminu, AS Ibrahim, A Bashir, SI Malami, MA Habibu, ... GSC Advanced Research and Reviews 13 (1), 050-057, 2022 | 10 | 2022 |
| New-generation machine learning models as prediction tools for modeling interfacial tension of hydrogen-brine system A Gbadamosi, H Adamu, J Usman, AG Usman, MM Jibril, BA Salami, ... International Journal of Hydrogen Energy 50, 1326-1337, 2024 | 5 | 2024 |
| Performance analysis and control of wastewater treatment plant using Adaptive Neuro-Fuzzy Inference System (ANFIS) and Multi-Linear Regression (MLR) techniques OP Okeke, II Aminu, A Rotimi, MM Jibril, AS Ibrahim, A Bashir, SI Malami, ... GSC Advanced Engineering and Technology 4 (2), 001-016, 2022 | 5 | 2022 |
| Hybrid predictive based control of precipitation in a water-scarce region: A focus on the application of intelligent learning for green irrigation in agriculture sector AY Zimit, MM Jibril, MS Azimi, SI Abba Journal of the Saudi Society of Agricultural Sciences 22 (8), 524-534, 2023 | 3 | 2023 |
| High strength concrete compressive strength prediction using an evolutionary computational intelligence algorithm MM Jibril, SI Malami, UJ Muhammad, A Bashir, AG Usman, BA Salami, ... Asian Journal of Civil Engineering 24 (8), 3727-3741, 2023 | 3 | 2023 |
| Implementation of nonlinear computing models and classical regression for predicting compressive strength of high-performance concrete MM Jibril, MA Zayyan, SI Malami, AG Usman, BA Salami, A Rotimi, ... Applications in Engineering Science 15, 100133, 2023 | 3 | 2023 |
| Nitrate concentrations tracking from multi-aquifer groundwater vulnerability zones: Insight from machine learning and spatial mapping SI Abba, MA Yassin, MM Jibril, B Tawabini, P Soupios, A Khogali, ... Process Safety and Environmental Protection, 2024 | 1 | 2024 |
| New random intelligent chemometric techniques for sustainable geopolymer concrete: low-energy and carbon-footprint initiatives MM Jibril, SI Malami, HB Jibrin, UJ Muhammad, MA Duhu, AG Usman, ... Asian Journal of Civil Engineering 25 (2), 2287-2305, 2024 | | 2024 |
| Supervised machine learning for identification of glass properties: Towards structural Stability and performance A Bashir, AT Terlumun, SI Malami, MM Jibril, AG Usman, S Hussain | | 2024 |
| MACHINE LEARNING-BASED WIND SPEED ESTIMATION FOR RENEWABLE ENERGY OPTIMIZATION IN URBAN ENVIRONMENTS: A CASE STUDY IN KANO STATE, NIGERIA IA Mahmoud, UJ Muhammad, SJ Kawu, MM Magaji, MM Jibril | | 2024 |
| Experimental exploration of influential factors of concrete flexural strength through features engineering techniques: Insight from machine learning prediction AM Auyo, MM Jibril, S Malami, H Jibrin, MA Zayyan, A Mohammed, ... | | 2023 |
| A Novel Hybrid Optimization Approach for Fault Detection in PV Arrays and Inverters Using AI and Statistical Learning Techniques: A Focus on Sustainable Environment A Abubakar, MM Jibril, CFM Almeida, M Gemignani, MN Yahya, SI Abba Preprints, 2023 | | 2023 |
| A Novel Approach for Compressive Strength Prediction in Fly-Ash Geopolymer Concrete: Leveraging Optimization Algorithms, Ensemble Model and Shap Interpretation MM Jibril, UJ Muhammad, H Abdullahi, I Mahmoud, SI Abba, SI Malami | | |
| Improving Structural Integrity in Reinforced Concrete Footings: A Novel Approach to Compressive Strength Prediction with an Insight into Machine Learning Models MM Jibril, UJ Muhammad, A Aisar, AS Ado, SI Malami, AG Usman, ... Yusuf haruna and Malami, Salim Idris and ameenu, isma'il isma'il and Shehu …, 0 | | |
| Interfacial Tension of the H2-Brine Modelling Effect on Energy Transition of Hydrogen Geological Storage: Artificial Intelligence Predictive Insights BA Salami, A Gbadamosi, H Adamu, J Usman, AG Usman, MM Jibril, ... Available at SSRN 4538131, 0 | | |
| Multi-Input Attributes Scenarios Using Machine Learning Models: A Prediction of the Elastic Modulus of Concrete Containing Sawdust Ash Cured in NaCl Solution SI Malami, IA Alhassan, AA Musa, BA Salami, UU Aliyu, AG Usman, ... Available at SSRN 4484367, 0 | | |
| Applications in Engineering Science MM Jibril, MA Zayyan, SI Malami, AG Usman, BA Salami, A Rotimi, ... | | |
Sani Isah AbbaKing Fahd University of Petroleum and Minerals, Dhahran, Saudi ArabiaVerified email at kfupm.edu.sa
