A State-of-the-Art Survey on Deep Learning Methods for Detection of Architectural Distortion From Digital Mammography. - Olaide Nathaniel Oyelade; Absalom E. Ezugwu (IEEE Access, 2020)

CovFrameNet: An Enhanced Deep Learning Framework for COVID-19 Detection. - Olaide Nathaniel Oyelade; Absalom E. Ezugwu; Haruna Chiroma (IEEE Access, 2021)

A deep learning model using data augmentation for detection of architectural distortion in whole and patches of images. - Olaide Nathaniel Oyelade; Absalom E. Ezugwu (Biomed. Signal Process. Control., 2021)

Ebola Optimization Search Algorithm (EOSA): A new metaheuristic algorithm based on the propagation model of Ebola virus disease. - Olaide Nathaniel Oyelade; Absalom E. Ezugwu (CoRR, 2021)

Automatic clustering algorithms: a systematic review and bibliometric analysis of relevant literature. - Absalom E. Ezugwu; Amit K. Shukla; Moyinoluwa B. Agbaje; Olaide Nathaniel Oyelade; Adán José García; Jeffrey O. Agushaka (Neural Comput. Appl., 2021)

Crime Detection and Analysis from Social Media Messages Using Machine Learning and Natural Language Processing Technique. - Xolani Lombo; Olaide Nathaniel Oyelade; Absalom E. Ezugwu (ICCSA (Workshops 5), 2022)

Ebola Optimization Search Algorithm: A New Nature-Inspired Metaheuristic Optimization Algorithm. - Olaide Nathaniel Oyelade; Absalom El-Shamir Ezugwu; Tehnan I. A. Mohamed; Laith Mohammad Abualigah (IEEE Access, 2022)

Abnormality classification and localization using dual-branch whole-region-based CNN model with histopathological images. - Olaide Nathaniel Oyelade; Absalom E. Ezugwu; Hein S. Venter; Seyedali Mirjalili; Amir H. Gandomi (Comput. Biol. Medicine, 2022)

Characterization of abnormalities in breast cancer images using nature-inspired metaheuristic optimized convolutional neural networks model. - Olaide Nathaniel Oyelade; Absalom E. Ezugwu (Concurr. Comput. Pract. Exp., 2022)

A comparative performance study of random-grid model for hyperparameters selection in detection of abnormalities in digital breast images. - Olaide Nathaniel Oyelade; Absalom E. Ezugwu (Concurr. Comput. Pract. Exp., 2022)

A comprehensive survey of clustering algorithms: State-of-the-art machine learning applications, taxonomy, challenges, and future research prospects. - Absalom E. Ezugwu; Abiodun M. Ikotun; Olaide Nathaniel Oyelade; Laith Mohammad Abualigah; Jeffrey O. Agushaka; Christopher Ifeanyi Eke; Andronicus Ayobami Akinyelu (Eng. Appl. Artif. Intell., 2022)

Enhancing reasoning through reduction of vagueness using fuzzy OWL-2 for representation of breast cancer ontologies. - Olaide Nathaniel Oyelade; Absalom E. Ezugwu; Sunday A. Adewuyi (Neural Comput. Appl., 2022)

Enhanced Intelligent Smart Home Control and Security System Based on Deep Learning Model. - Olutosin Taiwo; Absalom E. Ezugwu; Olaide Nathaniel Oyelade; Mubarak Saad Al-Mutairi (Wirel. Commun. Mob. Comput., 2022)

Machine Learning Research Trends in Africa: A 30 Years Overview with Bibliometric Analysis Review. - Absalom E. Ezugwu; Olaide Nathaniel Oyelade; Abiodun M. Ikotun; Jeffrey O. Agushaka; Yuh-Shan Ho (CoRR, 2023)

EOSA-GAN: Feature enriched latent space optimized adversarial networks for synthesization of histopathology images using Ebola optimization search algorithm. - Olaide Nathaniel Oyelade; Absalom E. Ezugwu (Biomed. Signal Process. Control., 2023)

SIRO: A Deep Learning-Based Next-Generation Optimizer for Solving Global Optimization Problems. - Olaide Nathaniel Oyelade; Absalom E. Ezugwu; Apu Kumar Saha (MIC (1), 2024)

SaltGAN: A feature-infused and loss-controlled generative adversarial network with preserved checkpoints for evolving histopathology images. - Olaide Nathaniel Oyelade; Hui Wang 001; Sunday A. Adewuyi (Biomed. Signal Process. Control., 2024)

Deep Learning-Augmented Evolutionary Strategies for Intelligent Global Optimization. - Absalom El-Shamir Ezugwu; Olaide Nathaniel Oyelade; Jeffrey O. Agushaka; Apu Kumar Saha (IEEE Access, 2025)

SMAR + NIE IdeaGen: A knowledge graph based node importance estimation with analogical reasoning on large language model for idea generation. - Olaide Nathaniel Oyelade; Hui Wang 001; Karen Rafferty (Expert Syst. Appl., 2025)

An adaptation of hybrid binary optimization algorithms for medical image feature selection in neural network for classification of breast cancer. - Olaide Nathaniel Oyelade; Enesi Femi Aminu; Hui Wang 001; Karen Rafferty (Neurocomputing, 2025)

A systematic literature review of visual feature learning: deep learning techniques, applications, challenges and future directions. - Mohammed Abdullahi; Olaide Nathaniel Oyelade; Armand Florentin Donfack Kana; Mustapha Aminu Bagiwa; Fatimah Binta Abdullahi; Sahalu B. Junaidu; Ibrahim Iliyasu; Ajayi Ore-ofe; Haruna Chiroma (Multim. Tools Appl., 2025)