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Items where Author is "Ha, Minh Cuong"

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Number of items: 6.

Vu, Van Tich and Nguyen, Huu Duy and Vu, Phuong Lan and Ha, Minh Cuong and Bui, Van Dong and Nguyen, Thi Oanh and Hoang, Van Hiep and Nguyen, Thanh Kim Hue (2023) Predicting land use effects on flood susceptibility using machine learning and remote sensing in coastal Vietnam. Water Practice and Technology .

Nguyen, Huu Duy and Vu, Phương Lan and Ha, Minh Cuong and Dinh, Thi Bao Hoa and Nguyen, Thuy Hang and Hoang, Tich Phuc and Doan, Quang Cuong and Pham, Van Manh and Dang, Dinh Kha (2022) Flood susceptibility mapping using advanced hybrid machine learning and CyGNSS: a case study of Nghe An province, Vietnam. Acta Geophysica, 70 (6). pp. 2785-2803. ISSN 18957455, 18956572

Ha, Minh Cuong and Vu, Phuong Lan and Nguyen, Huu Duy and Hoang, Tich Phuc and Dang, Dinh Duc and Dinh, Thi Bao Hoa and Şerban, Gheorghe and Rus, Ioan and Brețcan, Petre (2022) Machine Learning and Remote Sensing Application for Extreme Climate Evaluation: Example of Flood Susceptibility in the Hue Province, Central Vietnam Region. Water, 14 (10). ISSN 2073-4441

Le, Quang Dao and Nguyen, Nhat Nam and Luu, Quang Thang and Ha, Duc Van and Ha, Minh Cuong and Pham, Bao Son and Bui, Quang Hung (2020) Research and application of D-LINKNET network to solve the problem of detecting road from WorldView-3 satellite image in Cau Giay district, Hanoi. In: Hội thảo GIS toàn quốc 2020, Tháng 12 năm 2020.

Vu, Phuong Lan and Ha, Minh Cuong and Ddinh, Thi Bao Hoa and Nguyen, Thi Thuy Hang and Bui, Quang Thanh and Pham, Van Manh and Pham, Vu Dong (2019) Ứng dụng công nghệ GNSS-R (Phản xạ GNSS) để phát hiện các sự kiện thuỷ văn cực đoan (ví dụ cơn bão Xynthia năm 2010 tại Pháp). In: GIS Conference Proceeding 2019. NXB Nong Nghiep, pp. 798-807. ISBN 978-604-60-3104-8

Ha, Minh Cuong and Vu, Phuong Lan Application of GNSS-Reflectometry to evaluate the ability to detect moisture changes of sandy soils. In: Hội thảo GIS toàn quốc 2020, Tháng 12 năm 2020.

This list was generated on Thu Apr 18 00:37:41 2024 +07.