Hybrid deep learning model for reversible image steganography
A hybrid deep learning model that hides data inside images and restores the original image exactly.
Publications
A short, curated list. The complete record lives on Google Scholar and ORCID.
h-index 4 · i10-index 1 · 71 citations · OpenAlex, Monday, October 26, 2026
A hybrid deep learning model that hides data inside images and restores the original image exactly.
Maps a decade of reported foot-and-mouth disease outbreaks across Nigeria to show where and when the burden clusters.
Proposes the COHRCIE framework for using AI ethically in computational epidemiology and One Health.
Pairs a convolutional neural network with rule-based correction to read number plates more accurately.
An openly published dataset that lets others train and test models on Nigerian Supreme Court judgments.
Reviews how machine learning models combine clinical and gene expression data to predict colorectal cancer survival.
An automated Internet of Things design for moving data efficiently across a university.
Reads clinical features and genetic alterations together to anticipate radiotherapy response in triple-negative breast cancer.
Peer review
PLOS ONE
Examining
Internal examiner for MSc and PhD theses at Babcock University