Micheal Olaolu Arowolo

According to our database, Micheal Olaolu Arowolo authored at least 15 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

An Effective Intrusion Detection in Mobile Ad-hoc Network Using Deep Belief Networks and Long Short-Term Memory.

Abdulfatai Shola Hanafi, Yakub Kayode Saheed, Micheal Olaolu Arowolo

Int. J. Interact. Mob. Technol., October, 2023

Machine learning-based IoT system for COVID-19 epidemics.

Micheal Olaolu Arowolo, Roseline Oluwaseun Ogundokun, Sanjay Misra, Blessing Dorothy Agboola, Brij B. Gupta

Computing, April, 2023

A Machine Learning Technique for Detection of Social Media Fake News.

Micheal Olaolu Arowolo, Sanjay Misra, Roseline Oluwaseun Ogundokun

Int. J. Semantic Web Inf. Syst., 2023

2022

A Churn Prediction System for Telecommunication Company Using Random Forest and Convolution Neural Network Algorithms.

Sulaiman Olaniyi Abdulsalam, Jumoke Falilat Ajao, Bukola Fatimah Balogun, Micheal Olaolu Arowolo

EAI Endorsed Trans. Mob. Commun. Appl., 2022

Relevant gene selection using ANOVA-ant colony optimisation approach for malaria vector data classification.

Micheal Olaolu Arowolo, Joseph Bamidele Awotunde, Peace Ayegba, Shakirat Oluwatosin Haroon-Sulyman

Int. J. Model. Identif. Control., 2022

Comprehensive Assessment of OCR Tools for Gene Name Recognition in Biological Pathway Figures.

Stuart Aldrich, Micheal Olaolu Arowolo, Fei He, Mihail Popescu, Dong Xu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

Optimized hybrid investigative based dimensionality reduction methods for malaria vector using KNN classifier.

Micheal Olaolu Arowolo, Marion Olubunmi Adebiyi, Ayodele Ariyo Adebiyi, Oludayo O. Olugbara

J. Big Data, 2021

A survey of dimension reduction and classification methods for RNA-Seq data on malaria vector.

Micheal Olaolu Arowolo, Marion Olubunmi Adebiyi, Charity Aremu, Ayodele Ariyo Adebiyi

J. Big Data, 2021

Efficient Cyber Attack Detection on the Internet of Medical Things-Smart Environment Based on Deep Recurrent Neural Network and Machine Learning Algorithms.

Kayode Yakub Saheed, Micheal Olaolu Arowolo

IEEE Access, 2021

A Hybrid Metaheuristic Algorithm for Features Dimensionality Reduction in Network Intrusion Detection System.

Bukola Fatimah Balogun, Kazeem Alagbe Gbolagade, Micheal Olaolu Arowolo, Kayode Yakub Saheed

Proceedings of the Computational Science and Its Applications - ICCSA 2021, 2021

2020

A Hybrid Heuristic Dimensionality Reduction Methods for Classifying Malaria Vector Gene Expression Data.

Olaolu Arowolo, Marion Olubunmi Adebiyi, Ayodele Ariyo Adebiyi, Julius Olatunji Okesola

IEEE Access, 2020

Credit Risk Prediction in Commercial Bank Using Chi-Square with SVM-RBF.

Kayode Omotosho Alabi, Sulaiman Olaniyi Abdulsalam, Roseline Oluwaseun Ogundokun, Micheal Olaolu Arowolo

Proceedings of the Information and Communication Technology and Applications, 2020

Performance Evaluation of ANOVA and RFE Algorithms for Classifying Microarray Dataset Using SVM.

Sulaiman Olaniyi Abdulsalam, Abubakar Adamu Mohammed, Jumoke Falilat Ajao, Ronke Seyi Babatunde, Roseline Oluwaseun Ogundokun, Chiebuka T. Nnodim, Micheal Olaolu Arowolo

Proceedings of the Information Systems, 2020

2019

Computational Investigation of Consistency and Performance of the Biochemical Network of the Malaria Parasite, Plasmodium falciparum.

Marion O. Adebiyi, Bolaji Famuyiwa, Abayomi Mosaku, Roseline Ogundokun, Olaolu Arowolo, Noah Akande, Adekanmi Adegun, Aderonke Kayode, Ayodele Ariyo Adebiyi, Ezekiel F. Adebiyi

Proceedings of the Computational Science and Its Applications - ICCSA 2019, 2019

2017

A Comparative Analysis of Feature Extraction Methods for Classifying Colon Cancer Microarray Data.

Micheal Olaolu Arowolo, Rafiu Mope Isiaka, Sulaiman Olaniyi Abdulsalam, Kayode Yakub Saheed, Kazeem Alagbe Gbolagade

EAI Endorsed Trans. Scalable Inf. Syst., 2017