
Eniola Ayanlowo
Higher Degree by Research Candidate
School of Social Sciences
Faculty of Arts, Business, Law and Economics
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Education
Date Institution name Country Title 2022 - 2024 Ritsumeikan Asia Pacific University Japan Master 2014 - 2019 Federal University of Agriculture Nigeria Bachelor -
Certifications
Date Title Institution name Country 2024 Diploma International Air Transport Association Canada 2011 Diploma Lagos State Polytechnic Nigeria
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Journals
Year Citation 2025 Let’s Boost House Price Predictions: A Machine Learning Approach for Norwich (2025). Journal of Advances in Artificial Intelligence, 3(1), 1-18.
2025 Judah, A. E., & Bui, H. T. (2025). Do Cultural Festivals Contribute to Community Resilience? Evidence from Nigeria’s Calabar Carnival. Tourism Planning and Development, 20 pages.
2024 C.O, R., J. D, A., M. I, O., S. A, A., & E. M., O. (2024). Predictive Modeling Of Macroeconomic Trend In Nigeria: An Integrated Approach Of Using Correlation, Cluster-Based Similarity, And Artificial Neural Network. IOSR Journal of Economics and Finance, 15(6), 19-31.
2023 Prince, A. I., Onoh, U. C., Ayodele, O. J., Juda, A. E., & Nwimo, C. P. (2023). Examining the Social and Economic Impact of Climate Change on Rural Communities and the Role of Global Governance in Addressing These Challenges. IIARD INTERNATIONAL JOURNAL OF GEOGRAPHY AND ENVIRONMENTAL MANAGEMENT, 9(4), 1-18.
2022 Ayanlowo, E. J., & Ayanlowo, G. O. (2022). A Historical Review of the Egun Tribe in Badagry: 1960 – 2015. International Journal of African Society, Cultures and Traditions, 10(2), 18-24.
2020 Adegunwa, M. O., Ayanlowo, J. E., Olatunde, G. O., Adebanjo, L. A., & Alamu, E. O. (2020). Quality and carotenoid compositions of extrudates produced from composite biofortified maize (Zea mays <i>L</i>.) and soybean (Glycine max (L.) Merr.) flours. COGENT CHEMISTRY, 6(1), 15 pages.
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Preprint
Year Citation 2025 Afolabi, C. O., Adekunle, J. D., Oyeniran, M. I., Oyelakin, S. O., Ogu, C. K., Ayanlowo, E. J., . . . Ebonyem, B. N. (2025). COVID-19 Origins: Quantifying Scientific Consensus Amid Political Polarization Through Mixed-Methods Meta-Analysis.
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