Zobrazeno 1 - 10
of 82
pro vyhledávání: '"Phuong Thao Thi Ngo"'
Autor:
Alireza Arabameri, Sunil Saha, Kaustuv Mukherjee, Thomas Blaschke, Wei Chen, Phuong Thao Thi Ngo, Shahab S. Band
Publikováno v:
Remote Sensing, Vol 12, Iss 20, p 3423 (2020)
The uncertainty of flash flood makes them highly difficult to predict through conventional models. The physical hydrologic models of flash flood prediction of any large area is very difficult to compute as it requires lot of data and time. Therefore
Externí odkaz:
https://doaj.org/article/8185b0fde52542c789899c071165d9fa
Autor:
Alireza Arabameri, Omid Asadi Nalivan, Sunil Saha, Jagabandhu Roy, Biswajeet Pradhan, John P. Tiefenbacher, Phuong Thao Thi Ngo
Publikováno v:
Remote Sensing, Vol 12, Iss 11, p 1890 (2020)
Gully erosion has become one of the major environmental issues, due to the severity of its impact in many parts of the world. Gully erosion directly and indirectly affects agriculture and infrastructural development. The Golestan Dam basin, where soi
Externí odkaz:
https://doaj.org/article/02adf671725a4318a13dddd92298ca99
Autor:
Ishaani Priyadarshini, Pinaki Mohanty, Raghvendra Kumar, Le Hoang Son, Hoang Thi Minh Chau, Viet-Ha Nhu, Phuong Thao Thi Ngo, Dieu Tien Bui
Publikováno v:
Healthcare, Vol 8, Iss 2, p 148 (2020)
Corona viruses are a large family of viruses that are not only restricted to causing illness in humans but also affect animals such as camels, cattle, cats, and bats, thus affecting a large group of living species. The outbreak of Corona virus in lat
Externí odkaz:
https://doaj.org/article/8520083eab1c41abb6f134050d3c7d90
Publikováno v:
Water, Vol 12, Iss 6, p 1549 (2020)
This study aimed to assess flash-flood susceptibility using a new hybridization approach of Deep Neural Network (DNN), Analytical Hierarchy Process (AHP), and Frequency Ratio (FR). A catchment area in south-eastern Romania was selected for this propo
Externí odkaz:
https://doaj.org/article/125a8b0b9af24a0f950af45e5a3be3b8
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
Publikováno v:
Remote Sensing, Vol 12, Iss 3, p 490 (2020)
The aim of this research is to introduce a novel ensemble approach using Vise Kriterijumska Optimizacija I Kompromisno Resenje (VIKOR), frequency ratio (FR), and random forest (RF) models for groundwater-potential mapping (GWPM) in Bastam watershed,
Externí odkaz:
https://doaj.org/article/ace518e116b04793b563d8280afa4f8b
Autor:
K. Lakshminarayanan, R. Santhana Krishnan, E. Golden Julie, Y. Harold Robinson, Raghvendra Kumar, Le Hoang Son, Trinh Xuan Hung, Pijush Samui, Phuong Thao Thi Ngo, Dieu Tien Bui
Publikováno v:
Applied Sciences, Vol 10, Iss 2, p 718 (2020)
This paper proposed and verified a new integrated approach based on the iterative super-resolution algorithm and expectation-maximization for face hallucination, which is a process of converting a low-resolution face image to a high-resolution image.
Externí odkaz:
https://doaj.org/article/1be38713d35440d3af6be36e14ed8628
Publikováno v:
Applied Sciences, Vol 10, Iss 2, p 689 (2020)
The prediction aptitude of an artificial neural network (ANN) is improved by incorporating two novel metaheuristic techniques, namely, the shuffled frog leaping algorithm (SFLA) and wind-driven optimization (WDO), for the purpose of soil shear streng
Externí odkaz:
https://doaj.org/article/e2657b0d54ae4d0d995051a5b6359e49
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
Autor:
Rabin Chakrabortty, Subodh Chandra Pal, Manoranjan Ghosh, Alireza Arabameri, Asish Saha, Paramita Roy, Biswajeet Pradhan, Ayan Mondal, Phuong Thao Thi Ngo, Indrajit Chowdhuri, Ali P. Yunus, Mehebub Sahana, Sadhan Malik, Biswajit Das
Publikováno v:
Soft Computing.