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Application of deep learning models to detect coastlines and shorelines.
Dang, Kinh Bac; Dang, Van Bao; Ngo, Van Liem; Vu, Kim Chi; Nguyen, Hieu; Nguyen, Duc Anh; Nguyen, Thi Dieu Linh; Pham, Thi Phuong Nga; Giang, Tuan Linh; Nguyen, Huu Duy; Hieu Do, Trung.
Afiliação
  • Dang KB; Faculty of Geography, VNU University of Science, Vietnam National University, 334 Nguyen Trai, Thanh Xuan, Hanoi, Viet Nam. Electronic address: dangkinhbac@hus.edu.vn.
  • Dang VB; Faculty of Geography, VNU University of Science, Vietnam National University, 334 Nguyen Trai, Thanh Xuan, Hanoi, Viet Nam.
  • Ngo VL; Faculty of Geography, VNU University of Science, Vietnam National University, 334 Nguyen Trai, Thanh Xuan, Hanoi, Viet Nam.
  • Vu KC; VNU Institute of Vietnamese Studies and Development Science (VNU-IVIDES), Vietnam National University, 336 Nguyen Trai, Thanh Xuan, Hanoi, Viet Nam.
  • Nguyen H; Faculty of Geography, VNU University of Science, Vietnam National University, 334 Nguyen Trai, Thanh Xuan, Hanoi, Viet Nam.
  • Nguyen DA; SKYMAP High Technology Co., Ltd., No.6, 40/2/1, Ta Quang Buu, Hai Ba Trung, Hanoi, Viet Nam.
  • Nguyen TDL; Faculty of Geography, VNU University of Science, Vietnam National University, 334 Nguyen Trai, Thanh Xuan, Hanoi, Viet Nam.
  • Pham TPN; Faculty of Geography, VNU University of Science, Vietnam National University, 334 Nguyen Trai, Thanh Xuan, Hanoi, Viet Nam.
  • Giang TL; SKYMAP High Technology Co., Ltd., No.6, 40/2/1, Ta Quang Buu, Hai Ba Trung, Hanoi, Viet Nam.
  • Nguyen HD; Faculty of Geography, VNU University of Science, Vietnam National University, 334 Nguyen Trai, Thanh Xuan, Hanoi, Viet Nam.
  • Hieu Do T; Faculty of Geography, VNU University of Science, Vietnam National University, 334 Nguyen Trai, Thanh Xuan, Hanoi, Viet Nam.
J Environ Manage ; 320: 115732, 2022 Oct 15.
Article em En | MEDLINE | ID: mdl-35930878
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aprendizado Profundo Tipo de estudo: Prognostic_studies País/Região como assunto: Asia Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aprendizado Profundo Tipo de estudo: Prognostic_studies País/Região como assunto: Asia Idioma: En Ano de publicação: 2022 Tipo de documento: Article