APPLIED JOURNAL OF PHYSICAL SCIENCE
Integrity Research Journals
ISSN: 2756-6684
Model: Open Access/Peer Reviewed
DOI: 10.31248/AJPS
Start Year: 2018
Email: ajps@integrityresjournals.org
A neural network-based model for addressing global solar radiation data scarcity in tropical and equatorial regions
https://doi.org/10.31248/AJPS2026.138 | Article Number: 3075AD691 | Vol.7 (2) - April 2026
Received Date: 13 March 2026 | Accepted Date: 14 April 2026 | Published Date: 30 April 2026
Authors: Olubusade, J. E.* , Oyedum, O. D. , Aibinu, M. A. , Ezenwora, J. A. , Dichie J. O. and Folorunso T. A.
APA STYLE
Olubusade, J. E., Oyedum, O. D., Aibinu, M. A., Ezenwora, J. A., Eichie J. O., & Folorunso T. A. (2026). A neural network-based model for addressing global solar radiation data scarcity in tropical and equatorial regions. Applied Journal of Physical Science, 7(2), 34-48.
HARVARD STYLE
Olubusade, J.E., Oyedum, O.D., Aibinu, M.A., Ezenwora, J.A., Eichie J.O., & Folorunso T.A., (2026). A neural network-based model for addressing global solar radiation data scarcity in tropical and equatorial regions. Applied Journal of Physical Science, 7(2), pp.34-48.
VANCOUVER STYLE
Olubusade JE, Oyedum OD, Aibinu MA, Ezenwora JA, Eichie JO & Folorunso TA. A neural network-based model for addressing global solar radiation data scarcity in tropical and equatorial regions. Applied Journal of Physical Science. 2026 Apr 30;7(2):34-48.
Copyright © 2026 Integrity Research Journals. All rights reserved.