Výsledky vyhledávání - "Pobithra Das"

Akademický článek

Compressive strength prediction of sustainable concrete incorporating rice husk ash (RHA) using hybrid machine learning algorithms and parametric analyses

Autor: Abul Kashem, Rezaul Karim, Pobithra Das, Shuvo Dip Datta, Mohammad Alharthai

Publikováno v: Case Studies in Construction Materials, Vol 20, Iss , Pp e03030- (2024)

The construction industry is making efforts to reduce the environmental impact of cement production in concrete by incorporating alternative and supplementary cementitious materials, as well as lowering carbon emissions. One such material that has ga

Externí odkaz: https://doaj.org/article/fd32f9f3d0d043efa6fcd6682a9d47a2

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Akademický článek

Hybrid data-driven approaches to predicting the compressive strength of ultra-high-performance concrete using SHAP and PDP analyses

Autor: Abul Kashem, Rezaul Karim, Somir Chandra Malo, Pobithra Das, Shuvo Dip Datta, Mohammad Alharthai

Publikováno v: Case Studies in Construction Materials, Vol 20, Iss , Pp e02991- (2024)

Ultra-high-performance concrete (UHPC) is a cutting-edge and advanced construction material known for its exceptional mechanical properties and durability. Recently, machine learning (ML) methods have played a pivotal role in predicting the compressi

Externí odkaz: https://doaj.org/article/6138b04f78464b19a6491453515418c3

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Akademický článek

Hybrid machine learning approach to prediction of the compressive and flexural strengths of UHPC and parametric analysis with shapley additive explanations

Autor: Pobithra Das, Abul Kashem

Publikováno v: Case Studies in Construction Materials, Vol 20, Iss , Pp e02723- (2024)

Ultra-high-performance concrete (UHPC) is a sustainable construction material; it can be applied as a substitute for cement concrete. Artificial intelligence methods have been used to evaluate concrete composites to reduce time and money in the const

Externí odkaz: https://doaj.org/article/ff2e17b0edb64e96a5374933c8670a6d

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Compressive strength prediction of high-strength concrete using hybrid machine learning approaches by incorporating SHAP analysis

Autor: Abul Kashem, Pobithra Das

Publikováno v: Asian Journal of Civil Engineering.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::51b8e51dd3f73e5e2ce1467ab6786997
https://doi.org/10.1007/s42107-023-00707-0

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