In the design of reliable structures, the soil classification process is the first step, which
involves costly and time-consuming work including laboratory tests. Machine learning (ML) …

Historically, landslides have been the primary type of geological disaster worldwide.
Generally, the stability of reservoir banks is primarily affected by rainfall and reservoir water …

The vertical deflection of steel–concrete composite bridges (VDCB) was estimated using
novel ensemble soft computing (SC) models. These models, namely SGBE-RF, RSS-RF …

The use of spectral signature to classify soil horizons and orders is becoming increasingly
popular in the field of geotechnology. With the introduction of precise sensors and robust …

Shear wave velocity (V s) is crucial for designing geotechnical systems subjected to dynamic
loads, especially in seismically active regions. The shear wave velocity of geomaterials can …

Soil classification is essential for understanding soil properties and their suitability for
conveying the characteristics of soil types. In this study, we present a prediction of soil …

A novel hybrid model, based on machine learning technique, for quick and accurate
prediction of the vertical deflection of steel–concrete composite bridges was developed. The …

Soil type significantly influences the detection accuracy of heavy metals using X-ray
fluorescence (XRF) technology. Rapid and accurate soil type identification is crucial for …

Monitoring of river water is necessary to reveal its quality and pollution level so that we can
protect human health and the environment. The present study explored the water quality of …

In geotechnical engineering, it has been reported that bio-based materials reduce
environmental pollutants such as greenhouse gases and heavy metals. However, due to …