Land Subsidence Susceptibility Mapping in South Korea Using Machine Learning Algorithms - researchr publication related

researchr

You are not signed in
Sign in
Sign up

Dieu Tien Bui, Himan Shahabi, Ataollah Shirzadi, Kamran Chapi, Biswajeet Pradhan, Wei Chen, Khabat Khosravi, Mahdi Panahi, Baharin Bin Ahmad, Saro Lee. Land Subsidence Susceptibility Mapping in South Korea Using Machine Learning Algorithms. Sensors, 18(8):2464, 2018. [doi]

The following publications are possibly variants of this publication:

Land Subsidence Susceptibility Mapping in Jakarta Using Functional and Meta-Ensemble Machine Learning Algorithm Based on Time-Series InSAR DataWahyu Luqmanul Hakim, Arief Rizqiyanto Achmad, Chang-Wook Lee. remotesensing, 12(21):3627, 2020. [doi]

Predicting Electricity Distribution Feeder Failures Using Machine Learning Susceptibility AnalysisPhilip Gross, Albert Boulanger, Marta Arias, David L. Waltz, Philip M. Long, Charles Lawson, Roger Anderson, Matthew Koenig, Mark Mastrocinque, William Fairechio, John A. Johnson, Serena Lee, Frank Doherty, Arthur Kressner. AAAI 2006: 1705-1711

An Effective Machine Learning Algorithm using Momentum SchedulingEun-Mi Kim, Seong-Mi Park, Kwang-Hee Kim, Bae-Ho Lee. his 2005: 442-443 [doi]

Predicate-argument reordering based on learning to rank for English-Korean machine translationJoo-Young Lee, Gumwon Hong, Hae-Chang Rim, Young-In Song, Young-Sook Hwang. icuimc 2011: 2 [doi]

runs on WebDSL