Abdul Azeez Abdul Raheem
According to our database1, Abdul Azeez Abdul Raheem
Legend:Book In proceedings Article PhD thesis Other
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
A Novel Homogenous Hybridization Scheme for Performance Improvement of Support Vector Machines Regression in Reservoir Characterization.
Applied Comp. Int. Soft Computing, 2016
Improving the prediction of petroleum reservoir characterization with a stacked generalization ensemble model of support vector machines.
Appl. Soft Comput., 2015
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
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
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
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
Modeling PVT Properties of Crude Oil Systems Using Type-2 Fuzzy Logic Systems.
Proceedings of the Computational Collective Intelligence. Technologies and Applications, 2010