Olayinka Racheal Adelegan

Olayinka Racheal Adelegan joined the Nigerian Defence Academy in 2009 as a System Analyst/Programmer II and has since evolved into a dedicated and highly proficient Assistant Chief System Analyst Programmer. With more than ten years of experience at the Academy, she is passionate about Machine Learning and Deep Learning. Her strong academic foundation is complemented by an impressive record of contributions to these fields, evidenced by numerous publications. Adelegan has earned a B.Sc. and an M.Sc. in Computer Science, underscoring her deep expertise in the domain.

Publications

Improving Leukemia Detection Accuracy: Contrast Limited Adaptive Histogram Equalization-Enhanced Image Preprocessing Combined ResNet101 and Haralick Feature Extraction
Improving Leukemia Detection Accuracy: Contrast Limited Adaptive Histogram Equalization-Enhanced Image Preprocessing Combined ResNet101 and Haralick Feature Extraction
Olalekan Joel Awujoola, Theophilus Enem Aniemeka, Oluwasegun Abiodun Abioye, Abidemi Elizabeth Awujoola, Fiyinfoluwa Ajakaiye, Olayinka Racheal Adelegan. © 2024. 34 pages.
The study explores ResNet-101 CNNs and Haralick texture analysis for leukemia cell detection. Leveraging CLAHE preprocessing and hybrid feature extraction, it enhances model...
Enhancing Credit Card Fraud Detection and Prevention: A Privacy-Preserving Federated Machine Learning Approach With Auto-Encoder and Attention Mechanism
Enhancing Credit Card Fraud Detection and Prevention: A Privacy-Preserving Federated Machine Learning Approach With Auto-Encoder and Attention Mechanism
Olalekan J. Awujoola, Theophilus Aniemeka Enem, Ogwueleka Nonyelum Francisca, Olayinka Racheal Adelegan, Abioye Oluwasegun, Celesine Ozoemenam Uwa, Victor Uneojo Akuboh, Oluwaseyi Ezekiel Olorunshola, Hadiza Hassan. © 2023. 25 pages.
This chapter explores using auto-encoders and attention mechanisms to enhance privacy-preserving capabilities of federated machine learning for credit card fraud detection. The...