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ORCIDMicheal Olaolu Arowolo
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- affiliation: Landmark University, Omu-Aran, Nigeria
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2020 – today
- 2024
[j11]Muhammad Azam, Yibo Chen, Micheal Olaolu Arowolo, Haowang Liu, Mihail Popescu, Dong Xu:
A comprehensive evaluation of large language models in mining gene relations and pathway knowledge. Quant. Biol. 12(4): 360-374 (2024)- 2023
- [j10]Micheal Olaolu Arowolo, Roseline Oluwaseun Ogundokun, Sanjay Misra
, Blessing Dorothy Agboola, Brij B. Gupta:
Machine learning-based IoT system for COVID-19 epidemics. Computing 105(4): 831-847 (2023) - [j9]Abdulfatai Shola Hanafi, Yakub Kayode Saheed, Micheal Olaolu Arowolo:
An Effective Intrusion Detection in Mobile Ad-hoc Network Using Deep Belief Networks and Long Short-Term Memory. Int. J. Interact. Mob. Technol. 17(19): 123-135 (2023) - [j8]Micheal Olaolu Arowolo, Sanjay Misra, Roseline Oluwaseun Ogundokun:
A Machine Learning Technique for Detection of Social Media Fake News. Int. J. Semantic Web Inf. Syst. 19(1): 1-25 (2023) - 2022
- [j7]Micheal Olaolu Arowolo, Joseph Bamidele Awotunde, Peace Ayegba, Shakirat Oluwatosin Haroon-Sulyman:
Relevant gene selection using ANOVA-ant colony optimisation approach for malaria vector data classification. Int. J. Model. Identif. Control. 41(1/2): 12-21 (2022) - [j6]Sulaiman Olaniyi Abdulsalam, Jumoke Falilat Ajao, Bukola Fatimah Balogun, Micheal Olaolu Arowolo:
A Churn Prediction System for Telecommunication Company Using Random Forest and Convolution Neural Network Algorithms. EAI Endorsed Trans. Mob. Commun. Appl. 7(21): e4 (2022) - [c5]Stuart Aldrich, Micheal Olaolu Arowolo, Fei He, Mihail Popescu, Dong Xu:
Comprehensive Assessment of OCR Tools for Gene Name Recognition in Biological Pathway Figures. BIBM 2022: 3574-3579 - 2021
- [j5]Kayode Yakub Saheed, Micheal Olaolu Arowolo:
Efficient Cyber Attack Detection on the Internet of Medical Things-Smart Environment Based on Deep Recurrent Neural Network and Machine Learning Algorithms. IEEE Access 9: 161546-161554 (2021) - [j4]Micheal Olaolu Arowolo, Marion Olubunmi Adebiyi, Charity Aremu, Ayodele Ariyo Adebiyi:
A survey of dimension reduction and classification methods for RNA-Seq data on malaria vector. J. Big Data 8(1): 1-17 (2021) - [j3]Micheal Olaolu Arowolo, Marion Olubunmi Adebiyi, Ayodele Ariyo Adebiyi, Oludayo O. Olugbara:
Optimized hybrid investigative based dimensionality reduction methods for malaria vector using KNN classifier. J. Big Data 8(1): 29 (2021) - [c4]Bukola Fatimah Balogun, Kazeem Alagbe Gbolagade, Micheal Olaolu Arowolo, Kayode Yakub Saheed:
A Hybrid Metaheuristic Algorithm for Features Dimensionality Reduction in Network Intrusion Detection System. ICCSA (9) 2021: 101-114 - 2020
- [j2]Olaolu Arowolo, Marion Olubunmi Adebiyi, Ayodele Ariyo Adebiyi, Julius Olatunji Okesola:
A Hybrid Heuristic Dimensionality Reduction Methods for Classifying Malaria Vector Gene Expression Data. IEEE Access 8: 182422-182430 (2020) - [c3]Sulaiman Olaniyi Abdulsalam, Abubakar Adamu Mohammed, Jumoke Falilat Ajao, Ronke Seyi Babatunde, Roseline Oluwaseun Ogundokun, Chiebuka T. Nnodim, Micheal Olaolu Arowolo:
Performance Evaluation of ANOVA and RFE Algorithms for Classifying Microarray Dataset Using SVM. EMCIS 2020: 480-492 - [c2]Kayode Omotosho Alabi, Sulaiman Olaniyi Abdulsalam, Roseline Oluwaseun Ogundokun, Micheal Olaolu Arowolo:
Credit Risk Prediction in Commercial Bank Using Chi-Square with SVM-RBF. ICTA 2020: 158-169
2010 – 2019
- 2019
- [c1]Marion O. Adebiyi, Bolaji Famuyiwa, Abayomi Mosaku, Roseline Ogundokun, Olaolu Arowolo, Noah Akande, Adekanmi Adegun, Aderonke Kayode, Ayodele Ariyo Adebiyi, Ezekiel F. Adebiyi:
Computational Investigation of Consistency and Performance of the Biochemical Network of the Malaria Parasite, Plasmodium falciparum. ICCSA (5) 2019: 231-241 - 2017
- [j1]Micheal Olaolu Arowolo, Rafiu Mope Isiaka, Sulaiman Olaniyi Abdulsalam, Kayode Yakub Saheed, Kazeem Alagbe Gbolagade:
A Comparative Analysis of Feature Extraction Methods for Classifying Colon Cancer Microarray Data. EAI Endorsed Trans. Scalable Inf. Syst. 4(14): e2 (2017)
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last updated on 2024-10-30 21:30 CET by the dblp team
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