Abdul Azeez Abdul Raheem

发表

A least-square-driven functional networks type-2 fuzzy logic hybrid model for efficient petroleum reservoir properties prediction

Jane Labadin, Anifowose Fatai, Abdul Azeez Abdul Raheem, 2012, Neural Computing and Applications.

Modeling PVT Properties of Crude Oil Systems Based on Type-2 Fuzzy Logic Approach and Sensitivity Based Linear Learning Method

Ali Selamat, Sunday Olusanya Olatunji, Abdul Azeez Abdul Raheem, 2012, ICCCI.

Applied Soft Computing

Jane Labadin, Anifowose Fatai, Abdul Azeez Abdul Raheem, 2014 .

Modeling PVT Properties of Crude Oil Systems Using Type-2 Fuzzy Logic Systems

Ali Selamat, Sunday Olusanya Olatunji, Abdul Azeez Abdul Raheem, 2010, ICCCI.

Real-Time Prediction of Rheological Properties of Invert Emulsion Mud Using Adaptive Neuro-Fuzzy Inference System

Salaheldin Elkatatny, Abdul Azeez Abdul Raheem, Hany Gamal, 2020, Sensors.

Using soft computing techniques to predict corrected air permeability using Thomeer parameters, air porosity and grain density

Anifowose Fatai, Abdul Azeez Abdul Raheem, Hasan A. Nooruddin, 2014, Comput. Geosci..

Modeling the permeability of carbonate reservoir using type-2 fuzzy logic systems

Ali Selamat, Sunday Olusanya Olatunji, Abdul Azeez Abdul Raheem, 2011, Comput. Ind..

Predicting Petroleum Reservoir Properties from Downhole Sensor Data using an Ensemble Model of Neural Networks

Jane Labadin, Anifowose Fatai, Abdul Azeez Abdul Raheem, 2013, MLSDA '13.

Investigating the effect of training–testing data stratification on the performance of soft computing techniques: an experimental study

Anifowose Fatai, Abdul Azeez Abdul Raheem, Amar Khoukhi, 2017, J. Exp. Theor. Artif. Intell..

Improved sensitivity based linear learning method for permeability prediction of carbonate reservoir using interval type-2 fuzzy logic system

Ali Selamat, Sunday Olusanya Olatunji, Abdul Azeez Abdul Raheem, 2014, Appl. Soft Comput..

Modeling the correlations of crude oil properties based on sensitivity based linear learning method

Ali Selamat, Sigeru Omatu, Sunday Olusanya Olatunji, 2011, Eng. Appl. Artif. Intell..

Prediction of crude oil viscosity curve using artificial intelligence techniques

Abdul Azeez Abdul Raheem, M. A. Al-Marhoun, S. Nizamuddin, 2012 .

Ensemble model of Artificial Neural Networks with randomized number of hidden neurons

Jane Labadin, Anifowose Fatai, Abdul Azeez Abdul Raheem, 2013, 2013 8th International Conference on Information Technology in Asia (CITA).

Extreme Learning Machines Based Model for Predicting Permeability of Carbonate Reservoir

Ali Selamat, Sunday O. Olatunji, Abdul Azeez Abdul Raheem, 2013 .

Predicting correletations properties of crude oil systemes using type-2 fuzzy logic systems

Ali Selamat, Abdul Azeez Abdul Raheem, Sunday Olusanya Olantunji, 2011 .

A Novel Homogenous Hybridization Scheme for Performance Improvement of Support Vector Machines Regression in Reservoir Characterization

Sunday Olusanya Olatunji, Abdul Azeez Abdul Raheem, Taoreed Olakunle Owolabi, 2016, Appl. Comput. Intell. Soft Comput..

Prediction model of reservoir fluids properties using Sensitivity Based Linear Learning method

Ali Selamat, Sunday Olusanya Olatunji, Abdul Azeez Abdul Raheem, 2010, 2010 International Conference on Multimedia Computing and Information Technology (MCIT).

Ensemble Learning Model for Petroleum Reservoir Characterization: A Case of Feed-Forward Back-Propagation Neural Networks

Jane Labadin, Anifowose Fatai, Abdul Azeez Abdul Raheem, 2013, PAKDD Workshops.

New insights into the prediction of heterogeneous carbonate reservoir permeability from well logs using artificial intelligence network

Mohamed Mahmoud, Salaheldin Elkatatny, Abdul Azeez Abdul Raheem, 2017, Neural Computing and Applications.

Prediction of non-hydrocarbon gas components in separator by using Hybrid Computational Intelligence models

Tarek Helmy, Md. Rafiul Hassan, Moustafa Elshafei, 2015, Neural Computing and Applications.

A Hybrid of Functional Networks and Support Vector Machine models for the prediction of petroleum reservoir properties

Jane Labadin, Anifowose Fatai, Abdul Azeez Abdul Raheem, 2011, 2011 11th International Conference on Hybrid Intelligent Systems (HIS).

Modeling Permeability Prediction Using Extreme Learning Machines

Ali Selamat, Sunday Olusanya Olatunji, Abdul Azeez Abdul Raheem, 2010, 2010 Fourth Asia International Conference on Mathematical/Analytical Modelling and Computer Simulation.

Application of Artificial Intelligence Techniques in Predicting the Lost Circulation Zones Using Drilling Sensors

Salaheldin Elkatatny, Abdul Azeez Abdul Raheem, Abdulwahab Ali, 2020, J. Sensors.

Recent advances in the application of computational intelligence techniques in oil and gas reservoir characterisation: a comparative study

Anifowose Fatai, Abdul Azeez Abdul Raheem, Suli Adeniye, 2014, J. Exp. Theor. Artif. Intell..

An hybrid model through the fusion of sensitivity based linear learning method and type-2 fuzzy logic systems for modeling PVT properties of crude oil systems

Ali Selamat, Sunday Olusanya Olatunji, Abdul Azeez Abdul Raheem, 2011, 2011 Malaysian Conference in Software Engineering.

Prediction model of permeability from well logs using Type-2 Fuzzy Logic Systems

Ali Selamat, Sunday O. Olatunji, Abdul Azeez Abdul Raheem, 2010 .

Predicting correlations properties of crude oil systems using type-2 fuzzy logic systems

Ali Selamat, Sunday Olusanya Olatunji, Abdul Azeez Abdul Raheem, 2011, Expert Syst. Appl..

A hybrid model through the fusion of type-2 fuzzy logic systems and extreme learning machines for modelling permeability prediction

Ali Selamat, Sunday Olusanya Olatunji, Abdul Azeez Abdul Raheem, 2014, Inf. Fusion.

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

Ali Selamat, Sunday Olusanya Olatunji, Abdul Azeez Abdul Raheem, 2012, Adv. Fuzzy Syst..

Evolving strategies for shear wave velocity estimation: smart and ensemble modeling approach

Abdul Azeez Abdul Raheem, Zeeshan Tariq, Mohamed Mahmoud, 2021, Neural Computing and Applications.

Intelligent Prediction for Rock Porosity While Drilling Complex Lithology in Real Time

Salaheldin Elkatatny, Abdul Azeez Abdul Raheem, Ahmed Alsaihati, 2021, Comput. Intell. Neurosci..