Items where Author is "Arowolo, Michael Olaolu"

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Number of items: 13.

Article

Adebiyi, Marion and Adeka, Egbe and Oladeji, F. and Ogundokun, Roseline Oluwaseun and Arowolo, Michael Olaolu and Adebiyi, A. A. (2021) Evaluation of load balancing algorithms on overlappiing wireless accesspoints. Indonesian Journal of Electrical Engineering and Computer Science, 21 (2). pp. 892-902. ISSN 2502-4752

Arowolo, Michael Olaolu and Adebiyi, Marion and Adebiyi, A. A. and Olugbara, Oludayo (2021) Optimized hybrid investigative based dimensionality reduction methods for malaria vector using KNN classifier. Journal of Big Data, 8 (1). ISSN 2196-1115

Arowolo, Michael Olaolu and Adebiyi, Marion and Adebiyi, A. A. and OKesola, J. O. (2021) Predicting RNA-Seq data using genetic algorithm and ensemble classification algorithms. Indonesian Journal of Electrical Engineering and Computer Science, 21 (2). pp. 1073-1081. ISSN 2502-4752

Arowolo, Michael Olaolu and Adebiyi, Marion and Adebiyi, A. A. and OKesola, J. O. (2021) Predicting RNA-seq data using genetic algorithm and ensemble classification algorithms. Indonesian Journal of Electrical Engineering and Computer Science, 21 (2). p. 1073. ISSN 2502-4752

Adebiyi, Marion and Arowolo, Michael Olaolu and Olugbara, Oludayo (2021) A genetic algorithm for prediction of RNA-seq malaria vector gene expression data classification using SVM kernels. Bulletin of Electrical Engineering and Informatics, 10 (2). pp. 1071-1079. ISSN 2089-3191

Arowolo, Michael Olaolu and Adebiyi, Marion and Aremu, C. O. and Adebiyi, A. A. (2021) A survey of dimension reduction and classification methods for RNA-Seq data on malaria vector. Journal of Big Data, 8 (1). ISSN 2196-1115

Arowolo, Michael Olaolu and Adebiyi, Marion and Adebiyi, A. A. (2020) An Efficient PCA Ensemble Learning Approach for Prediction of RNA-Seq Malaria Vector Gene Expression Data Classification. International Journal of Engineering Research and Technology, 13 (1). pp. 163-169. ISSN 0974-3154

Arowolo, Michael Olaolu and Adebiyi, Marion and Adebiyi, A. A. and OKesola, J. O. (2020) A Hybrid Heuristic Dimensionality Reduction Methods for Classifying Malaria Vector Gene Expression Data. IEEE Access, 8. pp. 182422-182430. ISSN 2169-3536

Adebiyi, Marion and Adebiyi, A. A. and OKesola, J. O. and Arowolo, Michael Olaolu (2020) ICA Learning Approach for Predicting RNA-Seq Data Using KNN and Decision Tree Classifiers. International Journal of Advanced Science and Technology, 29 (3). pp. 12273-12282. ISSN 2005-4238

Arowolo, Michael Olaolu and Adebiyi, Marion and Adebiyi, A. A. (2019) A DIMENSIONAL REDUCED MODEL FOR THE CLASSIFICATION OF RNA-SEQ ANOPHELES GAMBIAE DATA. Journal of Theoretical and Applied Information Technology, 97 (23). pp. 3487-3496. ISSN 1992-8645

Bankole, Deborah and INYINBOR, A.A and Oluyori, Abimbola and Arowolo, Michael Olaolu Adsorptive removal of synthetic food dyes using low-cost biochar: Efficiency prediction, kinetics and desorption index evaluation. Bioresource Technology Report.

Nnodim, T. C. and Arowolo, Michael Olaolu and Agboola, B. D. and Ogundokun, Roseline Oluwaseun and Abiodun, Moses Kazeem Future trends in mechatronics. IAES International Journal of Robotics and Automation, 1 (10). p. 24.

Conference or Workshop Item

Arowolo, Michael Olaolu and Adebiyi, Marion and Adebiyi, A. A. and OKesola, J. O. (2020) PCA Model For RNA-Seq Malaria Vector Data Classification Using KNN And Decision Tree Algorithm. In: 2020 International Conference in Mathematics, Computer Engineering and Computer Science.

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