With remarkable learning capabilities and swift operational speeds, artificial intelligence (AI)
can assist researchers in swiftly extracting valuable patterns, trends, and associations from …

A comparison between deep learning and standalone models in predicting the compaction
parameters of soil is presented in this research. One hundred and ninety and fifty-three soil …

Chloride diffusion coefficient is an important durability indicator in durability design of
concrete structure according to performance-based approach. However, this indicator is …

This study explores the influence of concrete mix ingredients on the non-steady chloride
migration coefficient (D nssm) using an explainable machine learning (XML) approach that …

Soil cohesion (C) is one of the critical soil properties and is closely related to basic soil
properties such as particle size distribution, pore size, and shear strength. Hence, it is mainly …

This study proposes a CNN-BiGRU-Attention deep learning model driven by the Beluga
Whale Optimization (BWO) algorithm, achieving precise prediction and visualization …

Polyphenol-based materials, primarily composed of polyphenolic compounds, have
attracted considerable attention due to their unique chemical structures and biological …

Soil shear strength is an important indicator of soil erosion sensitivity and the tillage
performance of the cultivated layer. Measuring soil shear strength at a field scale is difficult …

Crushed soft rocks are becoming inevitable geotechnical materials for construction of
foundations, fill material for transportation infrastructures, and earthen dams for economic …

An extensive simulation program is used in this study to discover the best ANN model for
predicting the compressive strength of concrete containing Ground Granulated Blast …