A comparative study of soil classification machine learning models for construction management
Author:
Affiliation:
1. Department of Data Science, African Institute for Mathematical Sciences (AIMS), Limbe, Cameroon
2. Department of Statistics, State University of Campinas (UNICAMP), Brazil
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/15623599.2024.2341500
Reference25 articles.
1. Implementation of artificial neural network on sales forecasting application;Atmaja KJ;J Intel Decision Support System (IDSS),2022
2. Assessing the factors affecting building construction collapse casualty using machine learning techniques: a case of lagos, nigeria;Awe OO;Int J Construct Manag,2024
3. Use of Machine Learning Techniques in Soil Classification
4. An Introduction to Machine Learning
5. SMOTE for high-dimensional class-imbalanced data
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1. An Advanced Soil Classification Method Employing the Random Forest Technique in Machine Learning;Applied Sciences;2024-08-16
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