Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
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 …
Splitting tensile strength of basalt fiber reinforced coral aggregate concrete: optimized XGBoost models and experimental validation
Z Sun, Y Li, Y Yang, L Su, S ** environmentally friendly construction materials …
Explainable ensemble learning data-driven modeling of mechanical properties of fiber-reinforced rubberized recycled aggregate concrete
Colossal amounts of construction and demolition waste (C&D) and waste tires have become
a considerable global environmental concern. To alleviate this issue, it is proposed to use …
a considerable global environmental concern. To alleviate this issue, it is proposed to use …
Artificial-intelligence-led revolution of construction materials: From molecules to Industry 4.0
Industry 4.0 promotes the transformation of manufacturing industry to intelligence, which
demands advances in materials, devices, and systems of the construction industry …
demands advances in materials, devices, and systems of the construction industry …
Development of machine learning models for the prediction of the compressive strength of calcium-based geopolymers
W Huo, Z Zhu, H Sun, B Ma, L Yang - Journal of Cleaner Production, 2022 - Elsevier
Compressive strength is an important mechanical index that determines the mixture design
of geopolymer, and its accurate prediction is essential. The existing experiment-based and …
of geopolymer, and its accurate prediction is essential. The existing experiment-based and …
A review on pollution treatment in cement industrial areas: from prevention techniques to python-based monitoring and controlling models
X Zhu, J Yang, Q Huang, T Liu - Processes, 2022 - mdpi.com
Anthropogenic climate change, global warming, environmental pollution, and fossil fuel
depletion have been identified as critical current scenarios and future challenges. Cement …
depletion have been identified as critical current scenarios and future challenges. Cement …
Modified particle packing approach for optimizing waste marble powder as a cement substitute in high-performance concrete
This study explores the potential of utilizing waste marble powder (WMP) instead of cement
to develop environmentally friendly high-performance concrete (Eco-HPC). It assesses Eco …
to develop environmentally friendly high-performance concrete (Eco-HPC). It assesses Eco …
Comparison of various machine learning algorithms used for compressive strength prediction of steel fiber-reinforced concrete
Adding hooked industrial steel fibers (ISF) to concrete boosts its tensile and flexural strength.
However, the understanding of ISF's influence on the compressive strength (CS) behavior of …
However, the understanding of ISF's influence on the compressive strength (CS) behavior of …