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Работы, на которые ссылается эта работа

Работ: 191

Работа: Predictive modeling for compressive strength of blended cement concrete using hybrid machine learning models

  1. Grey Wolf Optimizer

    Seyedali Mirjalili, Seyed Mohammad Mirjalili, Andrew Lewis

    Статья2014Цитирований: 22
    ABI

  2. Particle swarm optimization

    James Kennedy, R.C. Eberhart

    Статья2002Цитирований: 15
    ABI

  3. Beware of q2!

    Alexander Golbraikh, Alexander Tropsha

    Статья2002Цитирований: 11
    ABI

  4. Eco-efficient cements: Potential economically viable solutions for a low-CO2 cement-based materials industry

    Karen Scrivener, Vanderley Moacyr John, E.M. Gartner

    Статья2018Цитирований: 6
    ABI

  5. On Some Aspects of Variable Selection for Partial Least Squares Regression Models

    Partha Pratim Roy, Kunal Roy

    Статья2007Цитирований: 5
    ABI

  6. A Tutorial on Support Vector Machines for Pattern Recognition

    Christopher J. C. Burges

    Статья1998Цитирований: 4
    ABI

  7. Performance comparison of cement replacing materials in concrete: Limestone fillers and supplementary cementing materials – A review

    Daman K. Panesar, Runxiao Zhang

    Обзорная статья2020Цитирований: 3
    ABI

  8. Compressive strength prediction of fly ash-based geopolymer concrete via advanced machine learning techniques

    Ayaz Ahmad, Waqas Ahmad, Fahid Aslam +1

    Статья2021Цитирований: 3
    ABI

  9. A tutorial on support vector regression

    Alex Smola, Bernhard Schölkopf

    Статья2004Цитирований: 3
    ABI

  10. Assessment of artificial neural network and genetic programming as predictive tools

    Amir H. Gandomi, David A. Roke

    Статья2015Цитирований: 2
    ABI

  11. Novel Approach to Strength Modeling of Concrete under Triaxial Compression

    Amir H. Gandomi, Saeed Babanajad, Amir H. Alavi +1

    Статья2012Цитирований: 2
    ABI

  12. Predictive modeling for sustainable high-performance concrete from industrial wastes: A comparison and optimization of models using ensemble learners

    Furqan Farooq, Wisal Ahmed, Arslan Akbar +2

    Статья2021Цитирований: 2
    ABI

  13. Utilization of fly ash with silica fume and properties of Portland cement–fly ash–silica fume concrete

    Thanongsak Nochaiya, Watcharapong Wongkeo, Arnon Chaipanich

    Статья2009Цитирований: 2
    ABI

  14. Swarm Intelligence and Bio-Inspired Computation

    Xin‐She Yang, Mehmet Karamanoglu

    Глава2013Цитирований: 2
    ABI

  15. Predictive modeling of swell-strength of expansive soils using artificial intelligence approaches: ANN, ANFIS and GEP

    Fazal E. Jalal, Yongfu Xu, Mudassir Iqbal +2

    Статья2021Цитирований: 2
    ABI

  16. Application of Advanced Machine Learning Approaches to Predict the Compressive Strength of Concrete Containing Supplementary Cementitious Materials

    Waqas Ahmad, Ayaz Ahmad, Krzysztof Adam Ostrowski +3

    Статья2021Цитирований: 2
    ABI

  17. Long-term mechanical and durability properties of recycled aggregate concrete prepared with the incorporation of fly ash

    Shi-Cong Kou, Chi Sun Poon

    Статья2012Цитирований: 2
    ABI

  18. Physical properties and mechanical behaviour of concrete made with recycled aggregates and fly ash

    Carmine Lima, António Caggiano, Ciro Faella +3

    Статья2013Цитирований: 2
    ABI

  19. Supplementary cementitious materials

    Barbara Lothenbach, Karen Scrivener, R.D. Hooton

    Статья2011Цитирований: 2
    ABI

  20. Univariate and multivariate skewness and kurtosis for measuring nonnormality: Prevalence, influence and estimation

    Meghan K Cain, Zhiyong Zhang, Ke‐Hai Yuan

    Статья2016Цитирований: 2
    ABI

  21. Carbon dioxide reduction potential in the global cement industry by 2050

    Sabbie A. Miller, Vanderley Moacyr John, Sérgio Almeida Pacca +1

    Статья2017Цитирований: 2
    ABI

  22. Supplementary cementitious materials: New sources, characterization, and performance insights

    Maria Juenger, Ruben Snellings, Susan A. Bernal

    Статья2019Цитирований: 2
    ABI

  23. Physical, chemical, and geotechnical properties of coal fly ash: A global review

    Arpita Bhatt, Sharon Priyadarshini, Aiswarya Acharath Mohanakrishnan +3

    Обзорная статья2019Цитирований: 2
    ABI

  24. High-temperature behaviour of basalt fibre reinforced concrete made with recycled aggregates from earthquake waste

    Jiangfeng Dong, Qingyuan Wang, Zhongwei Guan +1

    Статья2021Цитирований: 2
    ABI

  25. Comparative analysis of various machine learning algorithms to predict strength properties of sustainable green concrete containing waste foundry sand

    Muhammad Faisal Javed, Majid Khan, Muhammad Fawad +3

    Статья2024Цитирований: 2
    ABI