Zobrazeno 1 - 10
of 59
pro vyhledávání: '"Viet‐Ha Nhu"'
Publikováno v:
IEEE Access, Vol 12, Pp 26344-26363 (2024)
Groundwater spring plays a crucial role in human life, including water resource management and planning; therefore, developing accurate prediction models for groundwater spring potential mapping is essential. The objective of this research is to intr
Externí odkaz:
https://doaj.org/article/9c69b225716a487ab6c6645b2ac4ae43
Publikováno v:
Remote Sensing, Vol 15, Iss 19, p 4761 (2023)
Identifying areas with high groundwater spring potential is crucial as it enables better decision-making concerning water supply, sustainable development, and the protection of sensitive ecosystems; therefore, it is necessary to predict the groundwat
Externí odkaz:
https://doaj.org/article/86843e7dc12b4bb3bc49283d4ad83412
Autor:
Tran Xuan Truong, Viet-Ha Nhu, Doan Thi Nam Phuong, Le Thanh Nghi, Nguyen Nhu Hung, Pham Viet Hoa, Dieu Tien Bui
Publikováno v:
Remote Sensing, Vol 15, Iss 14, p 3458 (2023)
Frequent forest fires are causing severe harm to the natural environment, such as decreasing air quality and threatening different species; therefore, developing accurate prediction models for forest fire danger is vital to mitigate these impacts. Th
Externí odkaz:
https://doaj.org/article/ba682de6b3eb456f9147e3e8fec9fc76
Autor:
Mohammadtaghi Avand, Saeid Janizadeh, Dieu Tien Bui, Viet Hoa Pham, Phuong Thao T. Ngo, Viet-Ha Nhu
Publikováno v:
International Journal of Digital Earth, Vol 13, Iss 12, Pp 1408-1429 (2020)
The objective of this research is to propose and confirm a new machine learning approach of Best-First tree (BFtree), AdaBoost (AB), MultiBoosting (MB), and Bagging (Bag) ensembles for potential groundwater mapping and assessing role of influencing f
Externí odkaz:
https://doaj.org/article/c0f1b90a4dd34aff9aaba6a8042ae1dd
Autor:
Viet-Ha Nhu, Phuong-Thao Thi Ngo, Tien Dat Pham, Jie Dou, Xuan Song, Nhat-Duc Hoang, Dang An Tran, Duong Phan Cao, İbrahim Berkan Aydilek, Mahdis Amiri, Romulus Costache, Pham Viet Hoa, Dieu Tien Bui
Publikováno v:
Remote Sensing, Vol 12, Iss 17, p 2688 (2020)
Flash flood is one of the most dangerous natural phenomena because of its high magnitudes and sudden occurrence, resulting in huge damages for people and properties. Our work aims to propose a state-of-the-art model for susceptibility mapping of the
Externí odkaz:
https://doaj.org/article/ae0f875d357843beb04864cf7eeb176a
Autor:
Viet-Ha Nhu, Danesh Zandi, Himan Shahabi, Kamran Chapi, Ataollah Shirzadi, Nadhir Al-Ansari, Sushant K. Singh, Jie Dou, Hoang Nguyen
Publikováno v:
Applied Sciences, Vol 10, Iss 15, p 5047 (2020)
This paper aims to apply and compare the performance of the three machine learning algorithms–support vector machine (SVM), bayesian logistic regression (BLR), and alternating decision tree (ADTree)–to map landslide susceptibility along the mount
Externí odkaz:
https://doaj.org/article/476cd90e2a3d43308d1d73b71a6a3a6a
Autor:
Viet-Ha Nhu, Himan Shahabi, Ebrahim Nohani, Ataollah Shirzadi, Nadhir Al-Ansari, Sepideh Bahrami, Shaghayegh Miraki, Marten Geertsema, Hoang Nguyen
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 9, Iss 8, p 479 (2020)
Zrebar Lake is one of the largest freshwater lakes in Iran and it plays an important role in the ecosystem of the environment, while its desiccation has a negative impact on the surrounded ecosystem. Despite this, this lake provides an interesting re
Externí odkaz:
https://doaj.org/article/92697215d5e54339a219183eb779e8e2
Autor:
Viet-Nghia Nguyen, Peyman Yariyan, Mahdis Amiri, An Dang Tran, Tien Dat Pham, Minh Phuong Do, Phuong Thao Thi Ngo, Viet-Ha Nhu, Nguyen Quoc Long, Dieu Tien Bui
Publikováno v:
Remote Sensing, Vol 12, Iss 9, p 1373 (2020)
Flash floods induced by torrential rainfalls are considered one of the most dangerous natural hazards, due to their sudden occurrence and high magnitudes, which may cause huge damage to people and properties. This study proposed a novel modeling appr
Externí odkaz:
https://doaj.org/article/99badee4f0694e6a954f8d4638f60804
Autor:
Viet-Ha Nhu, Saeid Janizadeh, Mohammadtaghi Avand, Wei Chen, Mohsen Farzin, Ebrahim Omidvar, Ataollah Shirzadi, Himan Shahabi, John J. Clague, Abolfazl Jaafari, Fatemeh Mansoorypoor, Binh Thai Pham, Baharin Bin Ahmad, Saro Lee
Publikováno v:
Applied Sciences, Vol 10, Iss 6, p 2039 (2020)
Gully erosion destroys agricultural and domestic grazing land in many countries, especially those with arid and semi-arid climates and easily eroded rocks and soils. It also generates large amounts of sediment that can adversely impact downstream riv
Externí odkaz:
https://doaj.org/article/15fd42ee3a374897bade83c004cd3b5a
Autor:
Pijush Samui, Nhat-Duc Hoang, Viet-Ha Nhu, My-Linh Nguyen, Phuong Thao Thi Ngo, Dieu Tien Bui
Publikováno v:
Applied Sciences, Vol 9, Iss 22, p 4912 (2019)
In the design phase of housing projects, predicting the settlement of soil layers beneath the buildings requires the estimation of the coefficient of soil compression. This study proposes a low-cost, fast, and reliable alternative for estimating this
Externí odkaz:
https://doaj.org/article/2e21008e6bef4182a060b35e3ec04b0d