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Prof. Dr. Adebayo Felix Adekoya
Prof. Dr. Adebayo Felix Adekoya
Professor of Computer Science, Catholic University of Ghana, Fiapre - Sunyani, Ghana
Verified email at cug.edu.gh - Homepage
Title
Cited by
Cited by
Year
A systematic review of fundamental and technical analysis of stock market predictions
IK Nti, AF Adekoya, BA Weyori
Artificial Intelligence Review 53 (4), 3007-3057, 2020
4072020
Capsule networks–a survey
MK Patrick, AF Adekoya, AA Mighty, BY Edward
Journal of King Saud University-computer and information sciences 34 (1 …, 2022
2302022
Electricity load forecasting: a systematic review
IK Nti, M Teimeh, O Nyarko-Boateng, AF Adekoya
Journal of Electrical Systems and Information Technology 7, 1-19, 2020
2272020
A comprehensive evaluation of ensemble learning for stock-market prediction
IK Nti, AF Adekoya, BA Weyori
Journal of Big Data 7 (1), 20, 2020
2002020
Diffusion of innovation in social networking sites among university students
O Folorunso, RO Vincent, AF Adekoya, AO Ogunde
International journal of computer science and security 4 (3), 361-372, 2010
1412010
Applications of artificial intelligence in engineering and manufacturing: A systematic review
IK Nti, AF Adekoya, BA Weyori, O Nyarko-Boateng
Journal of Intelligent Manufacturing 33 (6), 1581-1601, 2022
1172022
A novel multi-source information-fusion predictive framework based on deep neural networks for accuracy enhancement in stock market prediction
IK Nti, AF Adekoya, BA Weyori
Journal of Big data 8 (1), 17, 2021
802021
Random forest based feature selection of macroeconomic variables for stock market prediction
KO Nti, A Adekoya, B Weyori
American Journal of Applied Sciences 16 (7), 200.212, 2019
732019
Efficient stock-market prediction using ensemble support vector machine
IK Nti, AF Adekoya, BA Weyori
Open Computer Science 10 (1), 153-163, 2020
542020
Improving the financial security of national health insurance using cloud-based blockchain technology application
AA Amponsah, AF Adekoya, BA Weyori
International Journal of Information Management Data Insights 2 (1), 100081, 2022
482022
Predicting stock market price movement using sentiment analysis: Evidence from Ghana
IK Nti, AF Adekoya, BA Weyori
Applied Computer Systems 25 (1), 33-42, 2020
472020
Models in quantum computing: a systematic review
P Nimbe, BA Weyori, AF Adekoya
Quantum Information Processing 20 (2), 80, 2021
412021
Blockchain in insurance: Exploratory analysis of prospects and threats
AA Amponsah, FA Adebayo, BA WEYORI
International Journal of Advanced Computer Science and Applications 12 (1), 2021
402021
Translated Nigeria stock market prices using artificial neural network for effective prediction
T Akinwale Adio, OT Arogundade, F Adekoya Adebayo
Journal of theoretical and Applied Information technology 1 (1), 36-43, 2009
402009
A novel fraud detection and prevention method for healthcare claim processing using machine learning and blockchain technology
AA Amponsah, AF Adekoya, BA Weyori
Decision Analytics Journal 4, 100122, 2022
372022
A medical expert system for managing tropical diseases
AF Adekoya, AT Akinwale, OE Oke
College of Natural Sciences Proceedings, 74-86, 2010
292010
Fiber optic deployment challenges and their management in a developing country: A tutorial and case study in Ghana
O Nyarko‐Boateng, FEB Xedagbui, AF Adekoya, BA Weyori
Engineering Reports 2 (2), e12121, 2020
252020
Big data, analytics and artificial intelligence for sustainability
BA Ojokoh, OW Samuel, OM Omisore, OA Sarumi, PA Idowu, ...
Scientific African 9, e00551, 2020
242020
The COVID-19 outbreak and effects on major stock market indices across the globe: A machine learning approach
AF Adekoya, IK Nti
Indian Journal of Science and Technology 13 (35), 3695-3706, 2020
212020
Low back pain assessment application for construction workers
HO Adeyemi, SB Adejuyigbe, SO Ismaila, AF Adekoya
Journal of Engineering, Design and Technology 13 (3), 419-434, 2015
212015
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