Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Pham Van Cu"'
Autor:
Quang-Thanh Bui, Manh Pham Van, Nguyen Thi Thuy Hang, Quoc-Huy Nguyen, Nguyen Xuan Linh, Pham Minh Hai, Tran Anh Tuan, Pham Van Cu
Publikováno v:
International Journal of Digital Earth, Vol 12, Iss 10, Pp 1118-1132 (2019)
This study proposed a novel object-based hybrid classification model named GMNN that combines Grasshopper Optimization Algorithm (GOA) and the multiple-class Neural network (MNN) for urban pattern detection in Hanoi, Vietnam. Four bands of SPOT 7 ima
Externí odkaz:
https://doaj.org/article/9a2bedd1c80e42578ae7f6f3e5f27bf0
Publikováno v:
In Internet of Things October 2024 27
Publikováno v:
In Internet of Things October 2024 27
Akademický článek
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Autor:
Yann Roche, Pham Van Cu
Publikováno v:
VertigO, Vol 23
In the context of climate change and sea level rise, several countries find themselves in a very difficult situation, because of the extent of their coastal zones. This is the case for Vietnam, where most of the 3,200 km of coasts are characterized b
Externí odkaz:
https://doaj.org/article/b136ce8ab151429e9e205eae91fdddb0
Akademický článek
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Autor:
Haneji, Choshin, Amemiya, Takashi, Itoh, Kiminori, Mochida, Yukira, Hoang, Thi Thanh Nhan, Pham, Van Cu
Above-ground biomass was allometrically estimated to quantify the amount of mangrove species in selected quadrats of Xuan Thuy National Park. Physicochemical properties of surrounding waters and soils were measured and treated stochastically by corre
Externí odkaz:
https://tud.qucosa.de/id/qucosa%3A28870
https://tud.qucosa.de/api/qucosa%3A28870/attachment/ATT-0/
https://tud.qucosa.de/api/qucosa%3A28870/attachment/ATT-0/
Autor:
Haneji, Choshin, Amemiya, Takashi, Itoh, Kiminori, Mochida, Yukira, Hoang, Thi Thanh Nhan, Pham, Van Cu
Publikováno v:
Journal of Vietnamese Environment, 2014, Vol. 5, No. 1, pp. 12-21, ISSN: 2913-6471
Above-ground biomass was allometrically estimated to quantify the amount of mangrove species in selected quadrats of Xuan Thuy National Park. Physicochemical properties of surrounding waters and soils were measured and treated stochastically by corre
Externí odkaz:
http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-176587
http://www.qucosa.de/fileadmin/data/qucosa/documents/17658/58-86-1-PB.pdf
http://www.qucosa.de/fileadmin/data/qucosa/documents/17658/58-86-1-PB.pdf
Autor:
Quoc-Huy Nguyen, Tran Anh Tuan, Nguyen Thi Thuy Hang, Quang-Thanh Bui, Nguyen Tran Xuan Linh, Pham Minh Hai, Pham Van Cu, Manh Pham Van
Publikováno v:
International Journal of Digital Earth. 12:1118-1132
This study proposed a novel object-based hybrid classification model named GMNN that combines Grasshopper Optimization Algorithm (GOA) and the multiple-class Neural network (MNN) for urban ...