Micheal Olaolu Arowolo
Orcid: 0000-0002-9418-5346Affiliations:
- Landmark University, Omu-Aran, Nigeria
According to our database1,
Micheal Olaolu Arowolo
authored at least 16 papers
between 2017 and 2024.
Collaborative distances:
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Bibliography
2024
A comprehensive evaluation of large language models in mining gene relations and pathway knowledge.
Quant. Biol., 2024
2023
An Effective Intrusion Detection in Mobile Ad-hoc Network Using Deep Belief Networks and Long Short-Term Memory.
Int. J. Interact. Mob. Technol., October, 2023
Int. J. Semantic Web Inf. Syst., 2023
2022
A Churn Prediction System for Telecommunication Company Using Random Forest and Convolution Neural Network Algorithms.
EAI Endorsed Trans. Mob. Commun. Appl., 2022
Relevant gene selection using ANOVA-ant colony optimisation approach for malaria vector data classification.
Int. J. Model. Identif. Control., 2022
Comprehensive Assessment of OCR Tools for Gene Name Recognition in Biological Pathway Figures.
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.
J. Big Data, 2021
A survey of dimension reduction and classification methods for RNA-Seq data on malaria vector.
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.
IEEE Access, 2021
A Hybrid Metaheuristic Algorithm for Features Dimensionality Reduction in Network Intrusion Detection System.
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.
IEEE Access, 2020
Proceedings of the Information and Communication Technology and Applications, 2020
Performance Evaluation of ANOVA and RFE Algorithms for Classifying Microarray Dataset Using SVM.
Proceedings of the Information Systems, 2020
2019
Computational Investigation of Consistency and Performance of the Biochemical Network of the Malaria Parasite, Plasmodium falciparum.
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.
EAI Endorsed Trans. Scalable Inf. Syst., 2017