PREDICTING THE CRACK WIDTH OF THE ENGINEERED CEMENTITIOUS MATERIALS VIA STANDARD MACHINE LEARNING ALGORITHMS

This study aims to develop various machine learning (ML) models to investigate the self-healing capacity of engineered cementitious composites (ECC) and to evaluate the effect of input parameters (raw materials and crack width before the healing process) on output parameters (crack width after the healing process) via Shapley additive explanations

Background: Obesity is a medical condition characterized by augmented body fat mass that can adversely affect human health.Several regimens Pin were suggested to counteract obesity and fat accumulation with limited success.As plants are well-known source of medicinal products, we studied the potential anti-adipogenic activity of the essential oil e