Theophilus Enem Aniemeka

Theophilus Enem earned his Ph.D. from Babcock University, Ilisan Remo, Ogun State, Nigeria. With extensive experience teaching computer science at the university level, he holds the position of Senior Lecturer and currently serves as the head of the Department of Cyber at the Air Force Institute of Technology, located at the Nigerian Air Force Base in Kaduna, Nigeria.

Publications

Improved Breast Cancer Detection in Mammography Images: Integration of Convolutional Neural Network and Local Binary Pattern Approach
Improved Breast Cancer Detection in Mammography Images: Integration of Convolutional Neural Network and Local Binary Pattern Approach
Olalekan Joel Awujoola, Theophilus Enem Aniemeka, Francisca N. Ogwueleka, Oluwasegun Abiodun Abioye, Abidemi Elizabeth Awujoola, Celestine Ozoemenam Uwa. © 2024. 28 pages.
Cancer, characterized by uncontrolled cell division, is an incurable ailment, with breast cancer being the most prevalent form globally. Early detection remains critical in...
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...