Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Dinh Trong, Tran"'
Publikováno v:
Geodesy and Cartography, Vol 50, Iss 3 (2024)
Vietnam’s rapid urbanization and economic growth have led to an increase in high-rise buildings, making building subsidence a significant concern. Monitoring subsidence is crucial for ensuring building safety and reducing potential risks. The level
Externí odkaz:
https://doaj.org/article/5bbd792e2cf146fabf88015aae4f594f
Autor:
Anh, Tran The1 (AUTHOR) ttanh@hus.edu.vn, Dinh Trong, Tran2 (AUTHOR) tdtrong@iop.vast.vn, Krasznahorkay, Attila J.3 (AUTHOR) kraszna@atomki.hu, Krasznahorkay, Attila3 (AUTHOR) jmolnar@atomki.hu, Molnár, József3 (AUTHOR) pintye@atomki.hu, Pintye, Zoltán3 (AUTHOR), Viet, Nguyen Ai1 (AUTHOR) naviet@vnu.edu.vn, Nghia, Nguyen The1 (AUTHOR) buithihoa.k55@hus.edu.vn, Khanh Linh, Do Thi4 (AUTHOR) dtklinh@vinatom.gov.vn, Hoa, Bui Thi1 (AUTHOR), Chung, Le Xuan4 (AUTHOR) chungxl@vinatom.gov.vn, Anh, Nguyen Tuan5 (AUTHOR) nguyentuananh@chieuxa.vn
Publikováno v:
Universe (2218-1997). Apr2024, Vol. 10 Issue 4, p168. 11p.
Publikováno v:
Geo-spatial Information Science, Vol 26, Iss 1, Pp 125-138 (2023)
ABSTRACTIn this paper, we propose an approach to determine seven parameters of the Helmert transformation by transforming the coordinates of a continuous GNSS network from the World Geodetic System 1984 (WGS84) to the International Terrestrial Refere
Externí odkaz:
https://doaj.org/article/ab5e96fe3a1a408bbaa681cf96e56715
Publikováno v:
Горные науки и технологии, Vol 6, Iss 4, Pp 241-251 (2021)
The paper is devoted to studying the possibility of using artificial neural networks (ANN) to estimate ground subsidence caused by underground mining. The experiments showed that the most suitable network structure is a network with three layers of p
Externí odkaz:
https://doaj.org/article/c5a97a7f064f4e98a748870c75eb7d33
Publikováno v:
Earth Sciences Research Journal. Mar2023, Vol. 27 Issue 1, p27-36. 10p.
Publikováno v:
Geo-spatial Information Science. 26:125-138
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b8e3cb763e30dbdeec807a107befedce
https://doi.org/10.1080/10095020.2022.2138569
https://doi.org/10.1080/10095020.2022.2138569
Publikováno v:
APN Science Bulletin, Vol 9, Iss 1 (2019)
Externí odkaz:
https://doaj.org/article/f64c9e7165a14ac7b06f19fe2ce7b43b
Autor:
Hang Ha, Quynh Duy Bui, Thanh Dong Khuc, Dinh Trong Tran, Binh Thai Pham, Sy Hung Mai, Lam Phuong Nguyen, Chinh Luu
Publikováno v:
Modeling Earth Systems and Environment. 8:4341-4357
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9438e4658bb84b1683ca97bafe2c70ef
https://doi.org/10.1007/s40808-022-01384-9
https://doi.org/10.1007/s40808-022-01384-9
Autor:
Thanh Dong Khuc, Long Quoc Nguyen, Dinh Trong Tran, Van Anh Tran, Quynh Nga Nguyen, Xuan Quang Truong, Hien Quang Pham
Publikováno v:
Advances in Geospatial Technology in Mining and Earth Sciences ISBN: 9783031204623
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3da9eafaba674ce9eefc03e531782e1d
https://doi.org/10.1007/978-3-031-20463-0_5
https://doi.org/10.1007/978-3-031-20463-0_5
Publikováno v:
Mining of Mineral Deposits; 2023, Vol. 17 Issue 4, p45-52, 8p