Diabetes Classification Techniques: A Brief State-of-the-Art Literature Review. - Jeffrey O. Agushaka; Absalom E. Ezugwu (ICAI, 2020)

Influence of Initializing Krill Herd Algorithm With Low-Discrepancy Sequences. - Jeffrey O. Agushaka; Absalom E. Ezugwu (IEEE Access, 2020)

Metaheuristics: a comprehensive overview and classification along with bibliometric analysis. - Absalom E. Ezugwu; Amit K. Shukla; Rahul Nath; Andronicus Ayobami Akinyelu; Jeffrey O. Agushaka; Haruna Chiroma; Pranab K. Muhuri (Artif. Intell. Rev., 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)

Influence of probability distribution initialization methods on the performance of advanced arithmetic optimization algorithm with application to unrelated parallel machine scheduling problem. - Jeffrey O. Agushaka; 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)

Evaluation of several initialization methods on arithmetic optimization algorithm performance. - Jeffrey O. Agushaka; Absalom E. Ezugwu (J. Intell. Syst., 2022)

Multiclass feature selection with metaheuristic optimization algorithms: a review. - Olatunji O. Akinola; Absalom E. Ezugwu; Jeffrey O. Agushaka; Raed Abu Zitar; Laith Abualigah (Neural Comput. Appl., 2022)

Prairie Dog Optimization Algorithm. - Absalom E. Ezugwu; Jeffrey O. Agushaka; Laith Abualigah; Seyedali Mirjalili; Amir H. Gandomi (Neural Comput. Appl., 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)

Gazelle optimization algorithm: a novel nature-inspired metaheuristic optimizer. - Jeffrey O. Agushaka; Absalom E. Ezugwu; Laith Abualigah (Neural Comput. Appl., 2023)

Correction to: Multiclass feature selection with metaheuristic optimization algorithms: a review. - Olatunji O. Akinola; Absalom E. Ezugwu; Jeffrey O. Agushaka; Raed Abu Zitar; Laith Abualigah (Neural Comput. Appl., 2023)

Soil and Climate Parameters Based Crop Recommendation Model for Yandev, Gboko Local Government Area of Benue State. - Dekera Kenneth Kwaghtyo; Christopher Ifeanyi Eke; Joshua Abah; Timothy Moses; Jeffrey O. Agushaka; B. Fatokun Faith (IMCOM, 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)

Secure and efficient cloudlet networks: blockchain integration with agent-based proof of trust mechanism. - Nothile C. Masango; Jeffrey O. Agushaka; Mercy C. Amaefule; Olutosin Taiwo; Peiying Zhang 001; Absalom E. Ezugwu; Kashif Saleem; Aseel Smerat; Laith Abualigah (EURASIP J. Wirel. Commun. Netw., 2025)