Anifowose Fatai

Orcid: 0000-0002-1823-8338

According to our database1, Anifowose Fatai authored at least 14 papers between 2008 and 2017.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

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

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

Using soft computing techniques to predict corrected air permeability using Thomeer parameters, air porosity and grain density.
Comput. Geosci., 2014

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

2011
Corrigendum to "Hybrid computational models for the characterization of oil and gas reservoirs" [Expert Systems with Applications 37 (2010) 5353-5363].
Expert Syst. Appl., 2011

Corrigendum to "Hybrid computational models for the characterization of oil and gas reservoirs" [Experts Systems with Applications 36 (7) (2010) 5353-5363].
Expert Syst. Appl., 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
Hybrid Computational Intelligence Models for Porosity and Permeability Prediction of Petroleum reservoirs.
Int. J. Comput. Intell. Appl., 2010

Hybrid computational models for the characterization of oil and gas reservoirs.
Expert Syst. Appl., 2010

2008
An Efficient Randomized Algorithm for Real-Time Process Scheduling in PicOS Operating System.
Proceedings of the Advanced Techniques in Computing Sciences and Software Engineering, 2008


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