Application of Ensemble Machine Learning Models to Assess the Sub-regional Groundwater Potentiality: A GIS-Based Approach
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-04532-5_15
Reference51 articles.
1. Abedinpour M, Sarangi A, Rajput TBS, Singh M, Pathak H, Ahmad T (2012) Performance evaluation of AquaCrop model for maize crop in a semi-arid environment. Agric Water Manag 110:55–66
2. Arabameri A, Chen W, Blaschke T, Tiefenbacher JP, Pradhan B, Tien Bui D (2020) Gully head-cut distribution modeling using machine learning methods—a case study of NW Iran. Water 12(1):16
3. Arabameri A, Roy J, Saha S, Blaschke T, Ghorbanzadeh O, Tien Bui D (2019) Application of probabilistic and machine learning models for groundwater potentiality mapping in Damghan Sedimentary Plain, Iran. Remote Sens 11(24):3015
4. Breiman L (1996) Bagging predictors. Mach Learn 24:123–140
5. Breiman L (2001) Random forests. Mach Learn 45(1):5–32
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