Utilizing contemporary machine learning techniques for determining soilcrete properties

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Publicado en:	Earth Science Informatics vol. 18, no. 1 (Jan 2025), p. 176
Publicado:	Springer Nature B.V.
Materias:	Mechanical properties Material properties Construction materials Emissions Strain analysis Civil engineering Aggregates Graphical user interface Greenhouse gases Machine learning Density User interface Concrete mixing Construction industry Artificial intelligence Modulus of elasticity Gene expression Prediction models Permeability Carbon dioxide Construction costs Algorithms Earth science Industrial development Soil properties Cement Informatics Metakaolin Economic Environmental
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