HIGHLIGHTS
- What: This study investigates the performance of different regression models combined with various data preprocessing techniques in contexts where data is limited. Specifically the research focuses on evaluating the suitability of five regression models across nine different data processing scenarios using concrete with recycled copper tailing as a case study. Within the study context a dataset comprising experimental specimens is used to evaluate the performance of the models on various concrete properties including fresh density compressive strength flexural strength pull-off strength abrasion resistance water penetration rapid chloride ion permeability and air permeability. The use of a . . .

If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.