Výsledky vyhledávání - "Duc-Hai Nguyen"

Akademický článek

Comparison of Deep Learning Techniques for River Streamflow Forecasting

Autor: Xuan-Hien Le, Duc-Hai Nguyen, Sungho Jung, Minho Yeon, Giha Lee

Publikováno v: IEEE Access, Vol 9, Pp 71805-71820 (2021)

Recently, deep learning (DL) models, especially those based on long short-term memory (LSTM), have demonstrated their superior ability in resolving sequential data problems. This study investigated the performance of six models that belong to the sup

Externí odkaz: https://doaj.org/article/9e85309437e74a9e9ff047694645bcd4

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Akademický článek

A novel framework for uncertainty quantification of rainfall–runoff models based on a Bayesian approach focused on transboundary river basins

Autor: Thi-Duyen Nguyen, Duc Hai Nguyen, Hyun-Han Kwon, Deg-Hyo Bae

Publikováno v: Journal of Hydrology: Regional Studies, Vol 57, Iss , Pp 102095- (2025)

Study region: The transboundary Imjin River basin, Korea. Study focus: The primary aim is to propose and validate a novel framework for assessing the uncertainty in hydrological models, particularly rainfall–runoff models (RRMs), considering transb

Externí odkaz: https://doaj.org/article/3e2e7a97354c4c19b53280d696e8088a

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Akademický článek

Machine learning for high-resolution landslide susceptibility mapping: case study in Inje County, South Korea

Autor: Xuan-Hien Le, Song Eu, Chanul Choi, Duc Hai Nguyen, Minho Yeon, Giha Lee

Publikováno v: Frontiers in Earth Science, Vol 11 (2023)

Landslides are a major natural hazard that can significantly damage infrastructure and cause loss of life. In South Korea, the current landslide susceptibility mapping (LSM) approach is mainly based on statistical techniques (logistic regression (LR)

Externí odkaz: https://doaj.org/article/7644444193d942919b7bb0d435310297

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Akademický článek

Towards an efficient streamflow forecasting method for event-scales in Ca River basin, Vietnam

Autor: Xuan-Hien Le, Linh Nguyen Van, Giang V. Nguyen, Duc Hai Nguyen, Sungho Jung, Giha Lee

Publikováno v: Journal of Hydrology: Regional Studies, Vol 46, Iss , Pp 101328- (2023)

Study region: The Ca River basin is located in the North Central Coast area of Vietnam Study focus: This study aims to develop a deep learning framework that is both effective and straightforward in order to forecast water levels in the Ca River basi

Externí odkaz: https://doaj.org/article/7263cb6f07914197a05a01acfa87fe7b

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Akademický článek

Role of regulatory capacity in the animal and human health systems in driving response to zoonotic disease outbreaks in the Mekong region

Autor: Barbara McPake, Katherine Gilbert, Sreytouch Vong, Bandeth Ros, Phalmony Has, Anh Tuan Khuong, Pham-Duc Phuc, Quoc Cuong Hoang, Duc Hai Nguyen, Latsamy Siengsounthone, Chanthaly Luangphaxay, Peter Annear, Justin McKinley

Publikováno v: One Health, Vol 14, Iss , Pp 100369- (2022)

We conducted a policy situation analysis in three Mekong region countries, focused on how the animal and human health systems interact to control avian influenza (AI). The study used scoping literature reviews aimed at establishing existing knowledge

Externí odkaz: https://doaj.org/article/e96a1a90c23246fb88db3d1f18ef4bfb

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Akademický článek

A Novel Framework for Correcting Satellite-Based Precipitation Products for Watersheds with Discontinuous Observed Data, Case Study in Mekong River Basin

Autor: Giha Lee, Duc Hai Nguyen, Xuan-Hien Le

Publikováno v: Remote Sensing, Vol 15, Iss 3, p 630 (2023)

Satellite-based precipitation (SP) data are gaining scientific interest due to their advantage in producing high-resolution products with quasi-global coverage. However, since the major reliance of precipitation data is on the distinctive geographica

Externí odkaz: https://doaj.org/article/0cf81d3d43914043b1362f2165cf7275

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