An essential task in the process of construction is the determination of compaction properties
of soils. Many years of laboratory test experience strengthen our belief in the existence of …

The present study focused on developing the multi-layer perceptron neural network
prediction model for the modified compaction parameters of coarse-grained and fine …

In geotechnical engineering, soil compaction is the practice in which a stress applied to a
soil causes densification as air is displaced from the pores between the soil grains. Soil …

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 …

The compaction parameters of fine-grained soils, maximum dry density (MDD) and optimum
moisture content (OMC) are fundamental data required for the design, construction and …

The compaction parameters are the most important parameters for any civil engineering
project. In this work, the sand content, fine content, liquid limit, plastic limit, and plasticity …

Simple Summary The research of this paper can be applied in the compaction parameter
prediction of soil-filling materials, which can significantly reduce the amount of laboratory …

Most of the topsoils encountered in United Arab Emirates and in the Arabian Peninsula are
granular soils with small percentages of silt and clay. Determination of the compaction …

This research tackles the feasibility of using Artificial Neural Networks to capture nonlinear
interactions between various soil parameters. In this study an attempt was conducted to …

The artificial intelligence is a revolutionary technology applied in many fields, and these
fields are medical science, space science, and engineering. Artificial intelligence has two …