Joseph Bamidele Awotunde

Joseph Awotunde is a lecturer at the Department of Computer Science, University of Ilorin, Nigeria. He is a member of International Association of Engineers and Computer Scientist (MIAENG), Computer Professional Registration Council of Nigeria (MCPN), and Nigeria Computer Society (MNCS), his research interests are Information Security, Bioinformatics, Artificial Intelligence, Software Engineering, and Biometrics.

Publications

Artificial Intelligence in Agriculture: The Potential for Efficiency and Sustainability, With Ethical Considerations
Artificial Intelligence in Agriculture: The Potential for Efficiency and Sustainability, With Ethical Considerations
Peace Busola Falola, Abidemi Emmanuel Adeniyi, Olugbenga Ayomide Madamidola, Joseph Bamidele Awotunde, Oyenike Adunni Olukiran, Solomon Olalekan Akinola. © 2024. 23 pages.
AI and sustainable agriculture have emerged as two intersecting fields with the potential to revolutionize food production and address pressing environmental challenges. This...
Comparison of Active COVID-19 Cases per Population Using Time-Series Models
Comparison of Active COVID-19 Cases per Population Using Time-Series Models
Sakinat Oluwabukonla Folorunso, Joseph Bamidele Awotunde, Oluwatobi Oluwaseyi Banjo, Ezekiel Adebayo Ogundepo, Nureni Olawale Adeboye. © 2022. 21 pages.
This research explored the precision of diverse time-series models for COVID-19 epidemic detection in all the thirty-six different states and the Federal Capital Territory (FCT)...
The Adoption and Utilization of Electronic Business in Response to the Global Economy During COVID-19
The Adoption and Utilization of Electronic Business in Response to the Global Economy During COVID-19
Joseph Bamidele Awotunde, Roseline Oluwaseun Ogundokun, Emmanuel Abidemi Adeniyi, Sanjay Misra, Gbemisola Janet Ajamu. © 2022. 20 pages.
The COVID-19 epidemic has triggered unmatched impairment to businesses globally. There are unmeasurable financial influences in the short-term and long-term and have causes...
Basic Issues and Challenges on Explainable Artificial Intelligence (XAI) in Healthcare Systems
Basic Issues and Challenges on Explainable Artificial Intelligence (XAI) in Healthcare Systems
Oladipo Idowu Dauda, Joseph Bamidele Awotunde, Muyideen AbdulRaheem, Shakirat Aderonke Salihu. © 2022. 24 pages.
Artificial intelligence (AI) studies are progressing at a breakneck pace, with prospective programs in healthcare industries being established. In healthcare, there has been an...