Outputs (2)

Evaluating and implementing machine learning models for personalised mobile health app recommendations (2025)
Journal Article
Morenigbade, H., Al Jaber, T., Gordon, N., & Eke, G. (2025). Evaluating and implementing machine learning models for personalised mobile health app recommendations. PLoS ONE, 20(3), e0319828. https://doi.org/10.1371/journal.pone.0319828

This paper focuses on the evaluation and recommendation of healthcare applications in the mHealth field. The increase in the use of health applications, supported by an expanding mHealth market, highlights the importance of this research. In this stu... Read More about Evaluating and implementing machine learning models for personalised mobile health app recommendations.

An examination of daily CO2 emissions prediction through a comparative analysis of machine learning, deep learning, and statistical models (2025)
Journal Article
Ajala, A. A., Adeoye, O. L., Salami, O. M., & Jimoh, A. Y. (2025). An examination of daily CO2 emissions prediction through a comparative analysis of machine learning, deep learning, and statistical models. Environmental science and pollution research, 32(5), 2510-2535. https://doi.org/10.1007/s11356-024-35764-8

Human-induced global warming, primarily attributed to the rise in atmospheric CO2,poses a substantial risk to the survival of humanity. While most research focuses on predicting annual CO2emissions, which are crucial for setting long-term emission mi... Read More about An examination of daily CO2 emissions prediction through a comparative analysis of machine learning, deep learning, and statistical models.