A systematic review of machine learning techniques and applications in soil improvement using green materials

• 主要な著者: Saad, Ahmed Hassan, Nahazanan, Haslinda, Yusuf, Badronnisa, Toha, Siti Fauziah, Alnuaim, Ahmed, El-Mouchi, Ahmed, Elseknidy, Mohamed, Mohammed, Angham Ali
• フォーマット: 論文
• 言語: English; English
• 出版事項: Multidisciplinary Digital Publishing Institute (MDPI) 2023
• 主題: TH1000 Systems of building construction
• オンライン･アクセス: http://irep.iium.edu.my/105210/7/105210_A%20systematic%20review%20of%20machine%20learning%20techniques.pdf; http://irep.iium.edu.my/105210/13/105210_A%20systematic%20review%20of%20machine%20learning%20techniques_Scopus.pdf; http://irep.iium.edu.my/105210/; https://www.mdpi.com/2071-1050/15/12/9738/pdf?version=1687142722; https://doi.org/10.3390/su15129738

According to an extensive evaluation of published studies, there is a shortage of research on systematic literature reviews related to machine learning prediction techniques and methodologies in soil improvement using green materials. A literature review suggests that machine learning algorithms are...