☆
4.6
Article
Prediction Modeling of Ground Subsidence Risk Based on Machine Learning Using the Attribute Information of Underground Utilities in Urban Areas in Korea
APPLIED SCIENCES-BASEL (2023)
Rate this paper
The primary rating indicates the level of overall quality for the paper. Secondary ratings independently reflect strengths or weaknesses of the paper.
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started