Abdul Azeez Abdul Raheem

According to our database1, Abdul Azeez Abdul Raheem
  • authored at least 19 papers between 2010 and 2017.
  • has a "Dijkstra number"2 of five.

Timeline

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Bibliography

2017
Prediction of non-hydrocarbon gas components in separator by using Hybrid Computational Intelligence models.
Neural Computing and Applications, 2017

Investigating the effect of training-testing data stratification on the performance of soft computing techniques: an experimental study.
J. Exp. Theor. Artif. Intell., 2017

2016
A Novel Homogenous Hybridization Scheme for Performance Improvement of Support Vector Machines Regression in Reservoir Characterization.
Applied Comp. Int. Soft Computing, 2016

2015
Improving the prediction of petroleum reservoir characterization with a stacked generalization ensemble model of support vector machines.
Appl. Soft Comput., 2015

2014
Recent advances in the application of computational intelligence techniques in oil and gas reservoir characterisation: a comparative study.
J. Exp. Theor. Artif. Intell., 2014

A hybrid model through the fusion of type-2 fuzzy logic systems and extreme learning machines for modelling permeability prediction.
Information Fusion, 2014

Using soft computing techniques to predict corrected air permeability using Thomeer parameters, air porosity and grain density.
Computers & Geosciences, 2014

Improved sensitivity based linear learning method for permeability prediction of carbonate reservoir using interval type-2 fuzzy logic system.
Appl. Soft Comput., 2014

2013
A least-square-driven functional networks type-2 fuzzy logic hybrid model for efficient petroleum reservoir properties prediction.
Neural Computing and Applications, 2013

Ensemble Learning Model for Petroleum Reservoir Characterization: A Case of Feed-Forward Back-Propagation Neural Networks.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2013

Ensemble model of Artificial Neural Networks with randomized number of hidden neurons.
Proceedings of the 8th International Conference on Information Technology in Asia, 2013

Predicting Petroleum Reservoir Properties from Downhole Sensor Data using an Ensemble Model of Neural Networks.
Proceedings of the Workshop on Machine Learning for Sensory Data Analysis, 2013

2012
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 Systems, 2012

Modeling PVT Properties of Crude Oil Systems Based on Type-2 Fuzzy Logic Approach and Sensitivity Based Linear Learning Method.
Proceedings of the Computational Collective Intelligence. Technologies and Applications, 2012

2011
Predicting correlations properties of crude oil systems using type-2 fuzzy logic systems.
Expert Syst. Appl., 2011

Modeling the correlations of crude oil properties based on sensitivity based linear learning method.
Eng. Appl. of AI, 2011

Modeling the permeability of carbonate reservoir using type-2 fuzzy logic systems.
Computers in Industry, 2011

A Hybrid of Functional Networks and Support Vector Machine models for the prediction of petroleum reservoir properties.
Proceedings of the 11th International Conference on Hybrid Intelligent Systems, 2011

2010
Modeling PVT Properties of Crude Oil Systems Using Type-2 Fuzzy Logic Systems.
Proceedings of the Computational Collective Intelligence. Technologies and Applications, 2010


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