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Machine Learning Applications in Concrete Strength Prediction

Machine Learning Applications in Concrete Strength Prediction

Altamashuddin Khan Nadeemallah / S.I. Manjur Basha

51,95 €
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Editorial:
KS OmniScriptum Publishing
Año de edición:
2024
Materia
Ciencia, ingeniería y tecnología medioambientales
ISBN:
9783659949319
51,95 €
IVA incluido
Disponible

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Machine Learning Approaches to Concrete Strength Prediction combines traditional engineering with modern data science, reshaping how we predict concrete strength. Focusing on concrete mixes that use sand, manufactured sand (M-sand), and laterite soil as fine aggregates, this book provides a practical guide to machine learning techniques like Linear Regression, Decision Trees, Random Forest, Support Vector Regression, and Gradient Boosting. With clear explanations and a real-world case study, it equips readers with the knowledge to apply data-driven approaches in construction.

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