Machine Learning Approach for the Estimation of the Maximum Dry Density and Optimum Moisture Content of the Stabilised Soils

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Authors

Publication Details

Journal
International Journal of Environmental Engineering
Published
2025-01-01
DOI
https://doi.org/10.1504/ijee.2025.10073842
Primary Topic
Soil and Unsaturated Flow
Type
article
Field-Weighted Citation Impact
0.00
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article

Machine Learning Approach for the Estimation of the Maximum Dry Density and Optimum Moisture Content of the Stabilised Soils

Jian Feng
International Journal of Environmental Engineering
Soil and Unsaturated Flow
article

Machine Learning Approach for the Estimation of the Maximum Dry Density and Optimum Moisture Content of the Stabilised Soils

Jian Feng
article en

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

International Journal of Environmental EngineeringVol. 13(3)
Openalex Percentile: Top 72%
Soil and Unsaturated Flow
DOISourceOpenAlex
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Machine Learning Approach for the Estimation of the Maximum Dry Density and Optimum Moisture Content of the Stabilised Soils — Jian Feng · International Journal of Environmental Engineering (2025) | TGRS Research Map | TGRS