| RBF neural network inferential sensor for process emission monitoring SA Iliyas, M Elshafei, MA Habib, AA Adeniran Control Engineering Practice 21 (7), 962-970, 2013 | 98 | 2013 |
| Computational intelligence based prediction of drilling rate of penetration: A comparative study OS Ahmed, AA Adeniran, A Samsuri Journal of Petroleum Science and Engineering 172, 1-12, 2019 | 80 | 2019 |
| Modeling and identification of nonlinear systems: A review of the multimodel approach—Part 1 AA Adeniran, S El Ferik IEEE Transactions on Systems, Man, and Cybernetics: Systems 47 (7), 1149-1159, 2016 | 79 | 2016 |
| Modeling and identification of nonlinear systems: A review of the multimodel approach—Part 2 S El Ferik, AA Adeniran IEEE Transactions on Systems, Man, and Cybernetics: Systems 47 (7), 1160-1168, 2016 | 41 | 2016 |
| A competitive ensemble model for permeability prediction in heterogeneous oil and gas reservoirs AA Adeniran, AR Adebayo, HO Salami, MO Yahaya, A Abdulraheem Applied Computing and Geosciences 1, 100004, 2019 | 30 | 2019 |
| Functional network softsensor for formation porosity and water saturation in oil wells A Adeniran, M Elshafei, G Hamada 2009 IEEE Instrumentation and Measurement Technology Conference, 1138-1143, 2009 | 15 | 2009 |
| Rate of penetration prediction utilizing hydromechanical specific energy O Ahmed, A Adeniran, A Samsuri Drilling, 105-131, 2018 | 13 | 2018 |
| A reinforced combinatorial particle swarm optimization based multimodel identification of nonlinear systems AA Adeniran, S El Ferik AI EDAM 31 (3), 327-358, 2017 | 6 | 2017 |
| Artificial intelligence techniques in reservoir characterization: Functional networks softsensor for formation porosity and water saturation in oil wells A Adeniran, M Elshafei, G Hamada VDM Verlag, 2010 | 5 | 2010 |
| Functional networks models for rapid characterization of thin films: An application to ultrathin polycrystalline silicon germanium films TB Asafa, AA Adeniran, SO Olatunji Applied Soft Computing 28, 11-18, 2015 | 4 | 2015 |
| Validity estimation for multi-model identification using constrained Kalman filte AA Adeniran, S Elferik, M Hamza Proceedings of the IASTED on Modeling Identification and Control (MIC), 17-19, 2014 | 3 | 2014 |
| Artificial Intelligence Techniques in Reservoir Characterization AA Adeniran King Fahd University of Petroleum and Minerals, 2009 | 2 | 2009 |
| Sequencer system for data collection of corrosion specimens SK Adekunle, AA Adeniran, M Maslehuddin US Patent App. 14/698,745, 2015 | 1 | 2015 |
| Multi-Model Systems Identification and Application AA Adeniran PQDT-Global, 2015 | 1 | 2015 |
| Apparatus and method for failure detection S El Ferik, AA Adeniran, M Adegoke, M Alnaser US Patent 11,435,734, 2022 | | 2022 |
| Failure Detection of Control Actuators Using CKF Based Multimodels: An Experimental Study SEI Ferik, AA Adeniran, M Adegoke, M Ai-Nasser 2018 15th International Multi-Conference on Systems, Signals & Devices (SSD …, 2018 | | 2018 |
| Multi-Model One Step Ahead Control for Nonlinear System AA Adeniran, S El Ferik 2018 15th International Multi-Conference on Systems, Signals & Devices (SSD …, 2018 | | 2018 |
