| Improving the prediction of petroleum reservoir characterization with a stacked generalization ensemble model of support vector machines F Anifowose, J Labadin, A Abdulraheem Applied Soft Computing 26, 483-496, 2015 | 149 | 2015 |
| Fuzzy logic-driven and SVM-driven hybrid computational intelligence models applied to oil and gas reservoir characterization F Anifowose, A Abdulraheem Journal of Natural Gas Science and Engineering 3 (3), 505-517, 2011 | 140 | 2011 |
| Ensemble machine learning: An untapped modeling paradigm for petroleum reservoir characterization FA Anifowose, J Labadin, A Abdulraheem Journal of Petroleum Science and Engineering 151, 480-487, 2017 | 110 | 2017 |
| Hybrid intelligent systems in petroleum reservoir characterization and modeling: the journey so far and the challenges ahead FA Anifowose, J Labadin, A Abdulraheem Journal of Petroleum Exploration and Production Technology 7, 251-263, 2017 | 67 | 2017 |
| Ensemble model of non-linear feature selection-based extreme learning machine for improved natural gas reservoir characterization FA Anifowose, J Labadin, A Abdulraheem Journal of Natural Gas Science and Engineering 26, 1561-1572, 2015 | 63 | 2015 |
| A parametric study of machine learning techniques in petroleum reservoir permeability prediction by integrating seismic attributes and wireline data F Anifowose, A Abdulraheem, A Al-Shuhail Journal of Petroleum Science and Engineering 176, 762-774, 2019 | 62 | 2019 |
| A least-square-driven functional networks type-2 fuzzy logic hybrid model for efficient petroleum reservoir properties prediction F Anifowose, J Labadin, A Abdulraheem Neural Computing and Applications 23, 179-190, 2013 | 58 | 2013 |
| Residual strength of corroded reinforced concrete beams using an adaptive model based on ANN A Imam, F Anifowose, AK Azad International Journal of Concrete Structures and Materials 9, 159-172, 2015 | 52 | 2015 |
| Prediction of oil and gas reservoir properties using support vector machines F Anifowose, AA Ewenla, S Eludiora IPTC 2012: International Petroleum Technology Conference, cp-280-00096, 2012 | 52 | 2012 |
| Integrating seismic and log data for improved petroleum reservoir properties estimation using non-linear feature-selection based hybrid computational intelligence models F Anifowose, S Adeniye, A Abdulraheem, A Al-Shuhail Journal of Petroleum Science and Engineering 145, 230-237, 2016 | 50 | 2016 |
| Investigating the effect of training–testing data stratification on the performance of soft computing techniques: an experimental study F Anifowose, A Khoukhi, A Abdulraheem Journal of Experimental & Theoretical Artificial Intelligence 29 (3), 517-535, 2017 | 45 | 2017 |
| Prediction of porosity and permeability of oil and gas reservoirs using hybrid computational intelligence models F Anifowose, A Abdulraheem SPE North Africa Technical Conference and Exhibition, SPE-126649-MS, 2010 | 43 | 2010 |
| Applying artificial intelligence techniques to develop permeability predictive models using mercury injection capillary-pressure data HA Nooruddin, F Anifowose, A Abdulraheem SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibition, SPE …, 2013 | 40 | 2013 |
| Recent advances in the application of computational intelligence techniques in oil and gas reservoir characterisation: a comparative study F Anifowose, S Adeniye, A Abdulraheem Journal of Experimental & Theoretical Artificial Intelligence 26 (4), 551-570, 2014 | 39 | 2014 |
| Artificial intelligence application in reservoir characterization and modeling: whitening the black Box FA Anifowose SPE Saudi Arabia section Young Professionals Technical Symposium, SPE-155413-MS, 2011 | 39 | 2011 |
| Non-linear feature selection-based hybrid computational intelligence models for improved natural gas reservoir characterization FA Anifowose, J Labadin, A Abdulraheem Journal of Natural Gas Science and Engineering 21, 397-410, 2014 | 37 | 2014 |
| Prediction of petroleum reservoir properties using different versions of adaptive neuro-fuzzy inference system hybrid models FA Anifowose, J Labadin, A Abdulraheem Int J Comput Inf Syst Ind Manag Appl 5, 413-426, 2013 | 37 | 2013 |
| Single gas flow prediction through chokes using artificial intelligence techniques MA Elhaj, F Anifowose, A Abdulraheem SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibition, SPE …, 2015 | 33 | 2015 |
| Application of artificial intelligence in network intrusion detection FA Anifowose, SI Eludiora World applied programming 2 (3), 158-166, 2012 | 32 | 2012 |
| Improved permeability prediction from seismic and log data using artificial intelligence techniques FA Anifowose, A Abdulraheem, A Al-Shuhail, DP Schmitt SPE middle east oil and gas show and conference, SPE-164465-MS, 2013 | 31 | 2013 |
