Machine learning and interactive GUI for concrete compressive strength prediction
Concrete compressive strength (CS) is a crucial performance parameter in concrete
structure design. Reliable strength prediction reduces costs and time in design and prevents …
structure design. Reliable strength prediction reduces costs and time in design and prevents …
[HTML][HTML] Hybrid machine learning approach to prediction of the compressive and flexural strengths of UHPC and parametric analysis with shapley additive …
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 …
applied as a substitute for cement concrete. Artificial intelligence methods have been used …
[HTML][HTML] Compressive strength prediction of sustainable concrete incorporating rice husk ash (RHA) using hybrid machine learning algorithms and parametric …
The construction industry is making efforts to reduce the environmental impact of cement
production in concrete by incorporating alternative and supplementary cementitious …
production in concrete by incorporating alternative and supplementary cementitious …
[HTML][HTML] Sustainability-oriented construction materials for traditional residential buildings: From material characteristics to environmental suitability
C Wang, Y Zhang, X Hu, X Jia, K Li, C Wang… - Case Studies in …, 2024 - Elsevier
The increasing replacement of traditional construction materials with modern alternatives
often overlooks their superior environmental adaptability and sustainability, resulting in …
often overlooks their superior environmental adaptability and sustainability, resulting in …
Shear behavior of reinforced concrete beams comprising a combination of crumb rubber and rice husk ash
In this paper, experimental studies were conducted to examine the shear behavior of
reinforced concrete beams, including a combination of crumb rubber (CR) and rice husk ash …
reinforced concrete beams, including a combination of crumb rubber (CR) and rice husk ash …
Tree-based machine learning models for predicting the bond strength in reinforced recycled aggregate concrete
To address the ever-increasing environmental degradation caused by concrete construction,
utilizing recycled aggregate (RA) in concrete mixes offers a significant solution. This study …
utilizing recycled aggregate (RA) in concrete mixes offers a significant solution. This study …
A comparative study of machine learning models for construction costs prediction with natural gradient boosting algorithm and SHAP analysis
The precise prediction of construction costs during the initial phase of a construction project
is crucial for ensuring the project's success. Identifying the parameters that influence project …
is crucial for ensuring the project's success. Identifying the parameters that influence project …
Optimizing compressive strength prediction using adversarial learning and hybrid regularization
T Aziz, H Aziz, S Mahapakulchai… - Scientific Reports, 2024 - nature.com
The infrastructure industry consumes natural resources and produces construction waste,
which has a detrimental impact on the environment. To mitigate these adverse effects and …
which has a detrimental impact on the environment. To mitigate these adverse effects and …
Development and validation of machine learning models for diagnosis and prognosis of lung adenocarcinoma, and immune infiltration analysis
L Lin, Y Bao - Scientific Reports, 2024 - nature.com
The aim of our study was to develop robust diagnostic and prognostic models for lung
adenocarcinoma (LUAD) using machine learning (ML) techniques, focusing on early …
adenocarcinoma (LUAD) using machine learning (ML) techniques, focusing on early …
Improved forecasting of the compressive strength of ultra‐high‐performance concrete (UHPC) via the CatBoost model optimized with different algorithms
This paper focuses on the applicability of CatBoost models constructed using various
optimization techniques for improved forecasting the compressive strength of ultra‐high …
optimization techniques for improved forecasting the compressive strength of ultra‐high …