Ronke S. Babatunde

A Hybridized Feature Extraction Model for Offline Yorùbá Document Recognition

Jumoke F. Ajao, Rafiu M. Isiaka & Ronke S. Babatunde · Asian Journal of Research in Computer Science · 2023

Document recognition is required to convert handwritten and text documents into digital equivalents, making them more easily accessible and convenient to store. This study combined feature extraction techniques for recognizing Yorùbá documents in an effort to preserve the cultura...

Open access Research Article 10.9734/ajrcos/2023/v15i4329

An Improved Coronary Heart Disease Predictive System Using Random Forest

Abdulraheem Abdul, Rafiu M. Isiaka, Ronke S. Babatunde & Jumoke F. Ajao · Asian Journal of Research in Computer Science · 2021

Aims: This work aim is to develop an enhanced predictive system for Coronary Heart Disease (CHD). Study Design: Synthetic Minority Oversampling Technique and Random Forest. Methodology: The Framingham heart disease dataset was used, which was collected from a study in Framingham,...

Open access Research Article 10.9734/ajrcos/2021/v11i130253