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Noze-Otote Aisosa

Publications (2)

Data-Centric Versus Algorithm-Centric Machine Learning Approaches: A Systematic Review of Comparative Effectiveness and Evaluation Frameworks

Awodele Oludele, Noze-Otote Aisosa, Agu Ekeoma Emmanuel, Sunday Bridget Nneamaka, Afelumo Ifeoluwa, Peter Iyogun, Arowojobe Yemi Adisa, Ogunwumi Oluyemi Samuel, Benard Adepoju Victor, Oyinloye Adebayo, Adewoye Adekunle Samuel, Abigail Ogunlolu, Ajaegbu Ikechukwu Udo, Ogunlolu Gabriel & Sowemimo Oluwakemi · Asian Journal of Research in Computer Science · 2026

Machine learning research has traditionally emphasised algorithmic innovation as the main driver of performance improvement, with advances in model architecture, optimisation, and hyperparameter tuning shaping progress in computer vision, natural language processing, healthcare,...

Open access Research Article 10.9734/ajrcos/2026/v19i6871

Autonomous Database Systems – A Systematic Review of Self-Healing and Self-Tuning Database Systems

Uchenna Jeremiah Nzenwata, Goodness Oluwamayokun Opateye, Noze-Otote Aisosa, Christiana Jumoke Daramola, Oduware Collins Odigie, Emokiniovo Edwin, Inyinsisaziba Clever Ikisikpo, Oluwaferanmi Marvelous Fayemi, Sotunde Olatubosun, Keziah Oluwaseunfunmi Owolabi & Chucks Great Barry · Asian Journal of Research in Computer Science · 2025

Problem Statement: Autonomous database systems represent a significant change in the management of databases, utilizing Machine Learning (ML) and Artificial Intelligence (AI) in order to carry out self-healing and self-tuning with minimal human intervention. Objectives: This syst...

Open access Research Article 10.9734/ajrcos/2025/v18i7721