Moses Bello
Mr. Bello holds a first-class Bachelor’s degree in Computer Science from the University of Benin, and a Master’s degree in Computer Science from the same University. Prior to joining PAU, he was the Head of IT Department at Afemai Microfinance Bank. He is currently pursuing his doctorate degree.
PUBLICATIONS
1. Odigie, B. E., Achukwu, P. U. and Bello, M. E. (2017). “Neuro fuzzy implementation for cervical lesion screening in commercial sex workers”. International Journal of Medical Engineering and Informatics. 34(8):153-162
2. Amadin, F.I. and Bello. M.E. (2018). “A Genetic Neuro Fuzzy Approach for Handling the Nurse Rostering Problem”. Pacific Journal of Science and Technology. 19(1):198-205.
3. Amadin, F.I. and Bello. M.E. (2018).”Bayesian Belief Approach in Diagnosing Poultry Diseases” . Journal of Emerging Trends in Engineering and Applied Sciences. 9(6), 253-258
4. Amadin, F.I. and Bello. M.E. (2018). “Prediction of Yellow Fever using Multilayer Perceptron Neural Network Classifier”. Journal of Emerging Trends in Engineering and Applied Sciences. 9(6), 282-286
5. Amadin, F.I. and Bello. M.E. (2019). “A Bayesian Belief Network Approach for Predicting Kernicterus”. Nigerian Journal of Technology. 38(2), pp 416 - 421
6. Amadin, F.I. and Bello. M.E. (2018) “Membership Function Performance of Adaptive Neuro Fuzzy System on Diabetes Prediction”. Benin Journal of Advances in Computer Science. 1(1), 18-15.
7. Osubor, V. I and Bello, M. E. (2019) “An Adaptive Neuro Fuzzy Inference System for Diagnosing Periodontitis”. University of Sindh Journal of Information and Communication Technology. 3(1), 1-6.
8. Amadin, F.I. and Bello. M.E. (2019) “A Neuro Fuzzy Approach for Predicting Delirium”. Intelligent Systems Conference, IEEE 12(1): 23-29
9. Odigie, B. E., Achukwu, P. U., Bello, M. E. and Abude C. V (2019)"Combined Fuzzy-logic and Neural Network Classifiers for Uterine Fibroid in vulnerable women" Nigerian Journal of Technological Research 14 (1), 25-30
10. Alile, S. O. and Bello, M. E, (2020) "A Machine Learning Approach for Diagnosing Meningococcal Meningitis" Int. J. Sci. Res. in Computer Science and Engineering Vol 8 (3)
11. Amadin, F.I. and Bello. M.E. (2019) "A Neuro-Fuzzy Approach for Predicting Epilepsy using EEG Signal. Nigerian Journal of Technology 38 (2), 416-421
12. Alile, S. O. and Bello, M. E, (2020) "Detection of Hepatitis (A, B, C, D and E) Viruses Using Machine Learning, International Journal of Academic Pedagogical Research (IJAPR). 4(5), Pp 19-35
13. Alile, S. O. and Bello, M. E, (2020) "A Machine Learning Based Approach for Detecting Dengue Haemorrhagic Fever, " International Journal of Academic and Applied Research (IJAAR) 4(5), Pp 13-25
14. Alile, S. O. and Bello, M. E, (2020) "Diagnosing Chronic Obstructive Pulmonary Disease (COPD) Using Bayesian Belief Network" International Journal of Computer Engineering in Research Trends 7(6)
15. Amadin, F.I. and Bello. M.E. (2019) “A Fuzzy Based Approach for Predicting Text Anxiety” Journal of Engineering Science and Applications 12 , pp 48-57
16. Osubor, V.I., Bello, M.E., Osunbor, E.C.andBabalola, F. (2020) A Fuzzy Based Approach for Predicting Student Learning Style Using the Felder-Silverman Technique. J. Nig. Institute of Production Engineers.24: 109-121
17. Osubor, V.I. and Bello, M.E. (2020) A Random Forest Approach for Diagnosing Cervical Cancer. NISEB J. 20(3): 97-102