Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Quoc Long Nguyen"'
Autor:
Xuan Bien Tran, Le Hung Trinh, Quoc Long Nguyen, Yuri M. Levkin, Igor V. Zenkov, Thi Hanh Tong
Publikováno v:
Горные науки и технологии, Vol 8, Iss 2, Pp 173-182 (2023)
Illegal mining, including the violation of lease boundaries during the extraction of mineral deposits in Vietnam, has witnessed a significant surge in recent years, leading to substantial environmental degradation. Due to the remote locations of mini
Externí odkaz:
https://doaj.org/article/1722a94d2be64e22acae7e29902671c4
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:
Geography, Environment, Sustainability, Vol 13, Iss 2, Pp 115-123 (2020)
In addition to the five main factors affecting the formation of floods including slope, rainfall, drainage density, soil, and land cover, the relative slope length factor has also been considered to be one of the fundamental causes that contribute to
Externí odkaz:
https://doaj.org/article/b9fcc2b297f94b2b9f091f9fa283f520
Autor:
Si Son Tong, Thi Lan Pham, Quoc Long Nguyen, Thi Thu Ha Le, Le Hung Trinh, Xuan Cuong Cao, Adeel Ahmad, Thi Huyen Ai Tong
Publikováno v:
Geography, Environment, Sustainability, Vol 13, Iss 2, Pp 175-184 (2020)
Investigating information on land cover changes is an indispensable task in studies related to the variation of the environment. Land cover changes can be monitored using multi-temporal satellite images at different scales. The commonly used method i
Externí odkaz:
https://doaj.org/article/ca513fea1db4445292f159cb7d732866
Autor:
Quoc Long Nguyen, Xuan Cuong Cao, Thi Huyen Ai Tong, Adeel Ahmad, Si Son Tong, Le Hung Trinh, Thi Lan Pham, Thi Thu Ha Le
Publikováno v:
Geography, Environment, Sustainability, Vol 13, Iss 2, Pp 175-184 (2020)
Investigating information on land cover changes is an indispensable task in studies related to the variation of the environment. Land cover changes can be monitored using multi-temporal satellite images at different scales. The commonly used method i
Autor:
Dinh Hieu Vu, Hoang Nguyen, Qui Thao Le, Quang-Hieu Tran, Quoc Long Nguyen, Van Hoa Pham, Xuan-Nam Bui, Phu Vu Nguyen
Publikováno v:
Inżynieria Mineralna. 2
The principal object of this study is blast-induced groundvibration (PPV), which is one of the dangerous side effects of blastingoperations in an open-pit mine. In this study, nine artificial neuralnetworks (ANN) models were developed to predict blas
Publikováno v:
Inżynieria Mineralna. 2
In Vietnam, there are a huge number of quarries that areexploited and mainly provide materials to the construction sector of thecountry. However, most of the quarries are operating without topographicplans due to a lack of surveying activities. This
Autor:
Xuan Nam BUI, Changwoo LEE, Quoc Long NGUYEN, Ahmad ADEEL, Xuan Cuong CAO, Viet Nghia NGUYEN, Van Canh LE, Hoang NGUYEN, Qui Thao LE, Thuy Huong DUONG, Van Duc NGUYEN
Publikováno v:
Inżynieria Mineralna. 2
Recently remarkable advancement development of unmannedaerial vehicles (UAVs) has been observed and their applications have beenshown in many fields such as agriculture, industry, and environmentalmanagement. However, in the mining industry, the appl
Publikováno v:
Inżynieria Mineralna. 1
Vietnam's mining industry has a long history with mines distributed throughout the country. Ithas contributed significantly to national economic growth. However, it also causes negative impacts onthe environment, thereby affecting sustainable develop
Publikováno v:
Inżynieria Mineralna. 1
In processing of position time series of crustal deformation monitoring stations by continuousGNSS station, it is very important to determine the motion model to accurately determine the displacementvelocity and other movements in the time series. Th