Statistical evaluation of the achievements of professional students by combination of the random forest algorithm and the ANFIS method-Reference-Cited by-同舟云学术

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Statistical evaluation of the achievements of professional students by combination of the random forest algorithm and the ANFIS method

Published:2023-11 Issue:11 Volume:9 Page:e21768
ISSN:2405-8440
Container-title:Heliyon
language:en
Short-container-title:Heliyon

Author:

Mojsilović Marija,Cvejić Radoje,Pepić Selver,Karabašević Darjan,Saračević Muzafer^ORCID,Stanujkić Dragiša

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference26 articles.

1. Systematic Literature Review on Opportunities, Challenges, and Future Research Recommendations of Artificial Intelligence in Education. Computers and Education;Xia,2022

2. Academic and administrative role of artificial intelligence in education;Ahmad;Sustainability,2022

3. Explainable artificial intelligence for education and training;Fiok;The Journal of Defense Modeling and Simulation,2022

4. Artificial Intelligence in Education;Holmes,2023

5. A risk framework for Human-centered artificial intelligence in education;Li;Educ. Technol. Soc.,2023

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1. Evaluating the efficiency of artificial neural networks and tree-based techniques for forecasting the flexural strength of concrete using waste foundry sand;Asian Journal of Civil Engineering;2024-07-26

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