Oyedele Joseph Adewole

Machine Learning Optimization of Alkali-treated Sisal Fiber Reinforced Polyester Composites for Mechanical and Water Resistance Performance

Muideen Bankole Opejin, FRANCIS IKECHUKWU ODINAKA & Oyedele Joseph Adewole · Journal of Engineering Research and Reports · 2026

Aims: The study characterizes the effects of NaOH concentration, soaking duration, and fiber-to-polyester ratio on the mechanical performance, FTIR spectral signatures, and water resistance of sisal/polyester composites, and to evaluate machine learning (ML) frameworks for predic...

Open access Research Article 10.9734/jerr/2026/v28i51878

Physics-Informed Feature Selection for CFRP Damage Assessment Using ECS and GPR

Muideen Bankole Opejin, FRANCIS IKECHUKWU ODINAKA & Oyedele Joseph Adewole · Journal of Engineering Research and Reports · 2026

Aims: To develop a physics-based feature selection algorithm to be used in detecting structural damage of CFRP with ECS capacitance data, and to perform a statistical analysis of a Gaussian Process Regression (GPR) model with uncertainty quantification to be tested on a small sam...

Open access Research Article 10.9734/jerr/2026/v28i41868