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ORCIDAbdul Azeez Abdul Raheem
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2020 – today
- 2023
[j24]Khalid L. Alsamadony
, Ahmed Farid Ibrahim, Salaheldin Elkatatny, Abdulazeez Abdulraheem:
Photoelectric factor prediction using automated learning and uncertainty quantification. Neural Comput. Appl. 35(30): 22595-22604 (2023)- 2022
- [j23]M. Elmuzafar Ahmed, Abdullah S. Sultan, Amjed Hassan, Abdulazeez Abdulraheem, Mohamed Mahmoud:
Predicting the performance of constant volume depletion tests for gas condensate reservoirs using artificial intelligence techniques. Neural Comput. Appl. 34(24): 22115-22125 (2022) - [i1]Khalid L. Alsamadony, Ahmed Farid Ibrahim, Salaheldin Elkatatny, Abdulazeez Abdulraheem:
Photoelectric Factor Prediction Using Automated Learning and Uncertainty Quantification. CoRR abs/2206.08950 (2022) - 2021
- [j22]Hany Gamal, Salaheldin Elkatatny, Ahmed Alsaihati, Abdulazeez Abdulraheem:
Intelligent Prediction for Rock Porosity While Drilling Complex Lithology in Real Time. Comput. Intell. Neurosci. 2021: 9960478:1-9960478:12 (2021) - [j21]Teslim Olayiwola, Zeeshan Tariq, Abdulazeez Abdulraheem, Mohamed Mahmoud:
Evolving strategies for shear wave velocity estimation: smart and ensemble modeling approach. Neural Comput. Appl. 33(24): 17147-17159 (2021) - 2020
- [j20]Abdulmalek Ahmed, Salaheldin Elkatatny, Abdulwahab Ali, Mahmoud Abughaban, Abdulazeez Abdulraheem:
Application of Artificial Intelligence Techniques in Predicting the Lost Circulation Zones Using Drilling Sensors. J. Sensors 2020: 8851065:1-8851065:18 (2020) - [j19]Zeeshan Tariq, Mohamed Mahmoud, Abdulazeez Abdulraheem:
An intelligent data-driven model for Dean-Stark water saturation prediction in carbonate rocks. Neural Comput. Appl. 32(15): 11919-11935 (2020) - [j18]Ahmed Alsabaa, Hany Gamal, Salaheldin Elkatatny, Abdulazeez Abdulraheem:
Real-Time Prediction of Rheological Properties of Invert Emulsion Mud Using Adaptive Neuro-Fuzzy Inference System. Sensors 20(6): 1669 (2020)
2010 – 2019
- 2019
- [j17]Salaheldin Elkatatny, Zeeshan Tariq, Mohamed Mahmoud, Abdulazeez Abdulraheem, Ibrahim Mohamed:
An integrated approach for estimating static Young's modulus using artificial intelligence tools. Neural Comput. Appl. 31(8): 4123-4135 (2019) - [j16]Zeeshan Tariq, Mohamed Mahmoud, Abdulazeez Abdulraheem:
Core log integration: a hybrid intelligent data-driven solution to improve elastic parameter prediction. Neural Comput. Appl. 31(12): 8561-8581 (2019) - 2018
- [j15]Salaheldin Elkatatny, Mohamed Mahmoud, Zeeshan Tariq, Abdulazeez Abdulraheem:
New insights into the prediction of heterogeneous carbonate reservoir permeability from well logs using artificial intelligence network. Neural Comput. Appl. 30(9): 2673-2683 (2018) - 2017
- [j14]Anifowose Fatai, Amar Khoukhi, Abdulazeez Abdulraheem:
Investigating the effect of training-testing data stratification on the performance of soft computing techniques: an experimental study. J. Exp. Theor. Artif. Intell. 29(3): 517-535 (2017) - [j13]Tarek Helmy, Muhammad Imtiaz Hossain, Abdulazeez Abdulraheem, S. M. Rahman, Md. Rafiul Hassan, Amar Khoukhi, Moustafa Elshafei:
Prediction of non-hydrocarbon gas components in separator by using Hybrid Computational Intelligence models. Neural Comput. Appl. 28(4): 635-649 (2017) - 2016
- [j12]Kabiru O. Akande, Taoreed Olakunle Owolabi, Sunday Olusanya Olatunji, Abdul Azeez Abdul Raheem:
A Novel Homogenous Hybridization Scheme for Performance Improvement of Support Vector Machines Regression in Reservoir Characterization. Appl. Comput. Intell. Soft Comput. 2016: 2580169:1-2580169:10 (2016) - 2015
- [j11]Anifowose Fatai, Jane Labadin, Abdulazeez Abdulraheem:
Improving the prediction of petroleum reservoir characterization with a stacked generalization ensemble model of support vector machines. Appl. Soft Comput. 26: 483-496 (2015) - 2014
- [j10]Sunday Olusanya Olatunji, Ali Selamat, Abdul Azeez Abdul Raheem:
Improved sensitivity based linear learning method for permeability prediction of carbonate reservoir using interval type-2 fuzzy logic system. Appl. Soft Comput. 14: 144-155 (2014) - [j9]Hasan A. Nooruddin, Anifowose Fatai, Abdulazeez Abdulraheem:
Using soft computing techniques to predict corrected air permeability using Thomeer parameters, air porosity and grain density. Comput. Geosci. 64: 72-80 (2014) - [j8]Sunday Olusanya Olatunji, Ali Selamat, Abdulazeez Abdulraheem:
A hybrid model through the fusion of type-2 fuzzy logic systems and extreme learning machines for modelling permeability prediction. Inf. Fusion 16: 29-45 (2014) - [j7]Anifowose Fatai, Suli C. Adeniye, Abdulazeez Abdulraheem:
Recent advances in the application of computational intelligence techniques in oil and gas reservoir characterisation: a comparative study. J. Exp. Theor. Artif. Intell. 26(4): 551-570 (2014) - 2013
- [j6]Anifowose Fatai, Jane Labadin, Abdulazeez Abdulraheem:
A least-square-driven functional networks type-2 fuzzy logic hybrid model for efficient petroleum reservoir properties prediction. Neural Comput. Appl. 23(Supplement-1): 179-190 (2013) - [c7]Anifowose Fatai, Jane Labadin, Abdulazeez Abdulraheem:
Predicting Petroleum Reservoir Properties from Downhole Sensor Data using an Ensemble Model of Neural Networks. MLSDA@AUS-AI 2013: 27 - [c6]Anifowose Fatai, Jane Labadin, Abdulazeez Abdulraheem:
Ensemble model of Artificial Neural Networks with randomized number of hidden neurons. CITA 2013: 1-5 - [c5]Anifowose Fatai, Jane Labadin, Abdulazeez Abdulraheem:
Ensemble Learning Model for Petroleum Reservoir Characterization: A Case of Feed-Forward Back-Propagation Neural Networks. PAKDD Workshops 2013: 71-82 - 2012
- [j5]Ali Selamat, Sunday Olusanya Olatunji, Abdul Azeez Abdul Raheem:
A Hybrid Model through the Fusion of Type-2 Fuzzy Logic Systems and Sensitivity-Based Linear Learning Method for Modeling PVT Properties of Crude Oil Systems. Adv. Fuzzy Syst. 2012: 359429:1-359429:19 (2012) - [j4]Emad A. El-Sebakhy, Ognian Asparouhov, Abdulazeez Abdulraheem, Abdulaziz Al-Majed, Donghui Wu, Kris Latinski, Iputu Raharja:
Functional networks as a new data mining predictive paradigm to predict permeability in a carbonate reservoir. Expert Syst. Appl. 39(12): 10359-10375 (2012) - [c4]Ali Selamat, Sunday Olusanya Olatunji, Abdul Azeez Abdul Raheem:
Modeling PVT Properties of Crude Oil Systems Based on Type-2 Fuzzy Logic Approach and Sensitivity Based Linear Learning Method. ICCCI (1) 2012: 145-155 - 2011
- [j3]Sunday Olusanya Olatunji, Ali Selamat, Abdul Azeez Abdul Raheem:
Modeling the permeability of carbonate reservoir using type-2 fuzzy logic systems. Comput. Ind. 62(2): 147-163 (2011) - [j2]Sunday Olusanya Olatunji, Ali Selamat, Abdul Azeez Abdul Raheem, Sigeru Omatu:
Modeling the correlations of crude oil properties based on sensitivity based linear learning method. Eng. Appl. Artif. Intell. 24(4): 686-696 (2011) - [j1]Sunday Olusanya Olatunji, Ali Selamat, Abdul Azeez Abdul Raheem:
Predicting correlations properties of crude oil systems using type-2 fuzzy logic systems. Expert Syst. Appl. 38(9): 10911-10922 (2011) - [c3]Anifowose Fatai, Jane Labadin, Abdulazeez Abdulraheem:
A Hybrid of Functional Networks and Support Vector Machine models for the prediction of petroleum reservoir properties. HIS 2011: 85-90 - 2010
- [c2]Sunday Olusanya Olatunji, Ali Selamat, Abdul Azeez Abdul Raheem:
Modeling PVT Properties of Crude Oil Systems Using Type-2 Fuzzy Logic Systems. ICCCI (1) 2010: 499-508
2000 – 2009
- 2007
- [c1]Emad A. El-Sebakhy, Abdulazeez Abdulraheem, Motaz Ahmed:
Forecasting PVT Correlations of Crude Oil Systems Using Type1 Fuzzy Logic Inference Systems. IICAI 2007: 1089-1107
Coauthor Index
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