The ageing stock of infrastructure, climate pressure, labour shortage, and rising lifecycle cost are further compounded by the infrastructure crisis. Traditional solutions, where one structural substance is substituted with another, are symptomatic, but not causal. The review pre...
Open access
Research Article10.9734/jmsrr/2026/v9i2494
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 Article10.9734/jerr/2026/v28i51878
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 Article10.9734/jerr/2026/v28i41868
Background: Real-time quality monitoring in metalworking manufacturing is essential to minimize defects, reduce downtime, and maintain product consistency in dynamic production environments. Machine learning algorithms provide robust tools for classifying quality alerts by captur...
Open access
Research Article10.9734/jerr/2026/v28i51886