This study proposes a Bayesian inference-based decision framework to quantify the
physical uncertainty based on fatigue life tests on maraging steel according to post …

In the present study, the effectiveness of fiber inclusion on enhancing frost durability was
experimentally examined. Polypropylene fiber of 0.2, 0.3, 0.4, and 0.5% and steel fiber of …

An organization's human resource management practices are essential for its competitive
advantage. This study specifically examined human resource (HR) practices that predict …

Artificial intelligence (AI) is a modern approach which has the ability to capture nonlinear
relationships and interaction effects. Frequently, AI methods have been used by researchers …

In this article, we examine the use of sensitivity analysis for the optimization of selected
physical properties in rubber compounds and determine objective criteria which allow for the …

Modified polyphenylene oxide (MPPO) is a widely known thermoplastic polymer and is
extensively utilized for weight reduction of automobiles since it possesses outstanding …

In this study, the design optimization of the gap size of annular nuclear fuels used in
pressurized water reactors (PWRs) was performed. For this, thermoelastic–plasticity–creep …

Artificial neural networks (ANN) have been used for characterization of rubber blend
mixtures ageing and for prediction of mechanical properties according to chemical …

In this study, the fatigue damage prognosis of a modified polyphenylene oxide (MPPO)
polymer is performed using a Bayesian framework, and a Zhurkov model-based dynamic …

Abstract (Aim) Tea plays a significant role because of its high value throughout the world.
Computer vision techniques were successfully employed for rapid identification of …