Skip to main content

Research Repository

Advanced Search

All Outputs (5)

Simple deterministic selection-based genetic algorithm for hyperparameter tuning of machine learning models. (2022)
Journal Article
RAJI, I.D., BELLO-SALAU, H., UMOH, I.J., ONUMANYI, A.J., ADEGBOYE, M.A. and SALAWUDEEN, A.T. 2022. Simple deterministic selection-based genetic algorithm for hyperparameter tuning of machine learning models. Applied sciences [online], 12(3), article 1186. Available from: https://doi.org/10.3390/app12031186

Hyperparameter tuning is a critical function necessary for the effective deployment of most machine learning (ML) algorithms. It is used to find the optimal hyperparameter settings of an ML algorithm in order to improve its overall output performance... Read More about Simple deterministic selection-based genetic algorithm for hyperparameter tuning of machine learning models..

Machine learning methods for sign language recognition: a critical review and analysis. (2021)
Journal Article
ADEYANJU, I.A., BELLO, O.O. and ADEGBOYE, M.A. 2021. Machine learning methods for sign language recognition: a critical review and analysis. Intelligent systems with applications [online], 12, article 200056. Available from: https://doi.org/10.1016/j.iswa.2021.200056

Sign language is an essential tool to bridge the communication gap between normal and hearing-impaired people. However, the diversity of over 7000 present-day sign languages with variability in motion position, hand shape, and position of body parts... Read More about Machine learning methods for sign language recognition: a critical review and analysis..

Numerical study of pipeline leak detection for gas-liquid stratified flow. (2021)
Journal Article
ADEGBOYE, M.A., KARNIK, A. and FUNG, W.-K. 2021. Numerical study of pipeline leak detection for gas-liquid stratified flow. Journal of natural gas science and engineering [online], 94, article 104054. Available from: https://doi.org/10.1016/j.jngse.2021.104054

Multiphase flows are of paramount importance in the oil and gas industry, considering that most petroleum industries produce and transport oil and gas simultaneously. However, systematic research on pipeline leakage conveying more than one phase at a... Read More about Numerical study of pipeline leak detection for gas-liquid stratified flow..

Incorporating Intelligence in Fish Feeding System for Dispensing Feed Based on Fish Feeding Intensity (2020)
Journal Article
ADEGBOYE, M.A., AIBINU, A.M., KOLO, J.G., ALIYU, I., FOLORUNSO, T.A. and LEE, S.-H. 2020. Incorporating intelligence in fish feeding system for dispensing feed based on fish feeding intensity. IEEE access [online], 8, pages 91948-91960. Available from: https://doi.org/10.1109/ACCESS.2020.2994442

The amount of feed dispense to match fish appetite plays a significant role in increasing fish cultivation. However, measuring the quantity of fish feed intake remains a critical challenge. To addressed this problem, this paper proposed an intelligen... Read More about Incorporating Intelligence in Fish Feeding System for Dispensing Feed Based on Fish Feeding Intensity.

Recent advances in pipeline monitoring and oil leakage detection technologies: principles and approaches. (2019)
Journal Article
ADEGBOYE, M.A., FUNG, W.-K. and KARNIK, A. 2019. Recent advances in pipeline monitoring and oil leakage detection technologies: principles and approaches. Sensors [online], 19(11), article ID 2548. Available from: https://doi.org/10.3390/s19112548

Pipelines are widely used for the transportation of hydrocarbon fluids over millions of miles all over the world. The structures of the pipelines are designed to withstand several environmental loading conditions to ensure safe and reliable distribut... Read More about Recent advances in pipeline monitoring and oil leakage detection technologies: principles and approaches..