A scientometric analysis approach to analyze the present research on recycled aggregate concrete
The growing state of research on recycled aggregate (RA) concrete presents academics
with an information overload that may obstruct effective research and academic …
with an information overload that may obstruct effective research and academic …
Machine and deep learning methods for concrete strength Prediction: A bibliometric and content analysis review of research trends and future directions
This review paper provides a detailed evaluation of the existing landscape and future trends
in applying machine learning and deep learning approaches for predicting concrete strength …
in applying machine learning and deep learning approaches for predicting concrete strength …
[HTML][HTML] Compressive strength prediction of fly ash-based geopolymer concrete via advanced machine learning techniques
Concrete is a widely used construction material, and cement is its main constituent.
Production and utilization of cement severely affect the environment due to the emission of …
Production and utilization of cement severely affect the environment due to the emission of …
Prediction model for rice husk ash concrete using AI approach: Boosting and bagging algorithms
The use of rice husk ash (RHA) in concrete serves a positive role. The compressive strength
of RHA in concrete is predicted using supervised machine learning approaches such as …
of RHA in concrete is predicted using supervised machine learning approaches such as …
[HTML][HTML] Data-driven based estimation of waste-derived ceramic concrete from experimental results with its environmental assessment
Q Chang, L Liu, MU Farooqi, B Thomas… - Journal of Materials …, 2023 - Elsevier
The significant requirement for natural resources, specifically as ingredients of cement, is
accelerating due to the considerable growth of the construction sector. Further, cement …
accelerating due to the considerable growth of the construction sector. Further, cement …
[HTML][HTML] Machine learning interpretable-prediction models to evaluate the slump and strength of fly ash-based geopolymer
This study used three artificial intelligence-based algorithms–adaptive neuro-fuzzy inference
system (ANFIS), artificial neural networks (ANNs), and gene expression programming (GEP) …
system (ANFIS), artificial neural networks (ANNs), and gene expression programming (GEP) …
Prediction of geopolymer concrete compressive strength using novel machine learning algorithms
The innovation of geopolymer concrete (GPC) plays a vital role not only in reducing the
environmental threat but also as an exceptional material for sustainable development. The …
environmental threat but also as an exceptional material for sustainable development. The …
Predicting the mechanical properties of RCA-based concrete using supervised machine learning algorithms
Environment-friendly concrete is gaining popularity these days because it consumes less
energy and causes less damage to the environment. Rapid increases in the population and …
energy and causes less damage to the environment. Rapid increases in the population and …
Application of soft computing techniques to predict the strength of geopolymer composites
Geopolymers may be the best alternative to ordinary Portland cement because they are
manufactured using waste materials enriched in aluminosilicate. Research on geopolymer …
manufactured using waste materials enriched in aluminosilicate. Research on geopolymer …
Evaluation of artificial intelligence methods to estimate the compressive strength of geopolymers
The depletion of natural resources and greenhouse gas emissions related to the
manufacture and use of ordinary Portland cement (OPC) pose serious concerns to the …
manufacture and use of ordinary Portland cement (OPC) pose serious concerns to the …