Aims: Effective industrial energy management (IEM) has become a strategic requirement for industrial companies because of rising and fluctuating energy costs, stricter environmental regulations and increasing competitive pressure. Although interest is growing in the integration o...
Open access
Research Article10.9734/jenrr/2026/v18i7522
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
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