Published papers in this category
Authors: Ukoro, F.O, Ibuh, S.G., Atondo, M.V., Ortese, V.
Abstract:
Bread is widely consumed as a staple food, but its high moisture and nutrient content make it susceptible to microbial contamination and spoilage. This study evaluated the microbiological properties of bread incorporated with selected bread improvers. In order to determine the influence of these imp... Read moreAuthors: Adeyemi, Biliqees Temitope, Makinde, Oladayo Ezekiel, Ojo, Olufemi Samuel
Abstract:
This study describes an Improved Electric Eel Foraging Optimization-Based Convolutional Neural Network (IEEFO-CNN) for two-level CAPTCHA validation based on facial expression recognition. The traditional CAPTCHAs are no longer resistant to the attacks of artificial intelligence, so the need for a mo... Read moreAuthors: Henry Chibueze Ivo
Abstract:
Household biomass fuel dependence remains a critical intersection of energy poverty, public health, and climate vulnerability in sub-Saharan Africa. This study develops and applies a generative AI-driven modelling framework to simulate household fuel transition dynamics and generate climate adaptati... Read moreAuthors: Adeyemi, Biliqees Temitope, Ipeayeda Funmilola W., Oyediran Mayowa O.
Abstract:
With the advent of learning moving to the digital realm, there is an increased threat of security at educational institutions, necessitating a more efficient method beyond just passwords. Unimodal biometric systems offer an alternative but inherit a single point of failure that degrades under advers... Read moreAuthors: Umo, Emem E. A., Akpabio, Louis E., Antia, Akaninyene D.
Abstract:
In this study, the determination of growth rates on collisional dust-ion acoustic instability in un-magnetized plasmas in the presence of applied zero-order electric field E_0 was examined. Using the continuity and momentum equations, supplemented by the charge neutrality condition, the dispersion r... Read moreAuthors: Rebecca Nneka Oguzor, Dr. Chinagolum Ituma, Favour Ngozi Okoro
Abstract:
The reliability of machine learning-based heart disease prediction depends not only on the choice of predictive models but also on the quality and preparation of the underlying clinical data. Missing values, inconsistent variable representations, and differences in feature scales can affect the reli... Read moreAuthors: G. G. Oyetoro, O. A. Afolabi, A. S. Oyefusi, D. A. Abraham
Abstract:
This study presents a four-parameter generalization of the Laplace transform, here called the Gbenga Gideon (G.G.) integral transform (GGIT), with kernel pv^m 〖{e〗^(-qv^w t)}, and develops its operational calculus for the solution of third-order ordinary differential equations. Elementary transform... Read more