文献
J-GLOBAL ID:202102284682851425
整理番号:21A2453619
地滑り感受性を予測するための新しいクレダル決定木に基づくアンサンブルアプローチ【JST・京大機械翻訳】
Novel Credal Decision Tree-Based Ensemble Approaches for Predicting the Landslide Susceptibility
著者 (8件):
Arabameri Alireza
(Department of Geomorphology, Tarbiat Modares University, Tehran 14117-13116, Iran)
,
Karimi-Sangchini Ebrahim
(Soil Conservation and Watershed Management Research Department, Lorestan Agricultural and Natural Resources Research and Education Center, AREEO, Khorramabad 6815144316, Iran)
,
Pal Subodh Chandra
(Department of Geography, The University of Burdwan, West Bengal 713104, India)
,
Saha Asish
(Department of Geography, The University of Burdwan, West Bengal 713104, India)
,
Chowdhuri Indrajit
(Department of Geography, The University of Burdwan, West Bengal 713104, India)
,
Lee Saro
(Geoscience Platform Research Division, Korea Institute of Geoscience and Mineral Resources (KIGAM), 124, Gwahak-ro Yuseong-gu, Daejeon 34132, Korea)
,
Lee Saro
(Korea University of Science and Technology, 217 Gajeong-ro Yuseong-gu, Daejeon 34113, Korea)
,
Bui Dieu Tien
(Institute of Research and Development, Duy Tan University, Da Nang 550000, Vietnam)
資料名:
Remote Sensing (Web)
(Remote Sensing (Web))
巻:
12
号:
20
ページ:
3389
発行年:
2020年
JST資料番号:
U7270A
ISSN:
2072-4292
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
スイス (CHE)
言語:
英語 (EN)