Among the many sustainability challenges in the construction industry, those related to the
application of concrete and its components are the most critical. Particularly, the production …

Heat exchangers are widely used in different chemical industries and energy systems.
Among different types of heat exchangers, shell and tube heat exchangers are among the …

This study proposed a procedure to optimize the mixture proportion of geopolymer using
machine learning (ML) and multi-objective optimization (MOO) model, which enhances the …

The power grid faults study is crucial for maintaining grid reliability and stability.
Understanding these faults enables rapid detection, prevention, and mitigation, ensuring …

Sugarcane bagasse ash is an agricultural and industrial waste material produced in millions
of tonnes annually. While traditionally used as a fertilizer or buried underground …

This research focuses on a comprehensive comparative analysis of shear strength
prediction in slab–column connections, integrating machine learning, design codes, and …

Application of machine learning (ML) in predicting mortars bond strength contributes to low
experimental cost and high accuracy. This study explores the performance of four ML …

The integration of Artificial Intelligence (AI) techniques in the optimization of steel moment
frame structures represents a transformative approach to enhance the design, analysis, and …

A study was conducted in Shahrekord city, Iran, focusing on improving the production of
almond and walnut crops on rural agricultural lands. The gardeners selected for the study …

This study presents a hybrid neuro-fuzzy prognostic framework that develops an energy
allocation method for current urban power infrastructure. This is accomplished by combining …