Tran Thi Hong Ngoc

Tran Thi Hong Ngoc , Head Department of Environmental Management, Faculty of Engineering - Technology - Environment, An Giang University, Vietnam. Her research area at Ph.D. level is “Evaluation of hydrological models for water resources management planning and estimating of sediment load on the floodplain of Long Xuyen Quadrangle An Giang, Vietnam”. It involves analyzing various factors such as precipitation patterns, soil properties, vegetation cover, land use to simulate the movement of water through the hydrological cycle as well as calculating evapotranspiration for crops to solve the problem of water balance and a little my hydraulic knowledge being applied in some small projects such as water resources management, flood forecasting, environmental impact assessment, climate change and infrastructure design.

Publications

Engineering, Geology, Climate, and Socioeconomic Aspects' Implications on Machine Learning-Dependent Water Pipe Collapse Prediction
Phan Truong Khanh, Tran Thi Hong Ngoc, Sabyasachi Pramanik. © 2024. 29 pages.
From the impact of several corporeal, mechanized, ecological, and civic conditions, underground water pipelines degrade. A motivated administrative approach of the water supply...
AI-Driven Solution Selection: Prediction of Water Quality Using Machine Learning
Tran Thi Hong Ngoc, Phan Truong Khanh, Sabyasachi Pramanik. © 2024. 15 pages.
With the fast growth of aquatic data, machine learning is essential for data analysis, categorization, and prediction. Data-driven models using machine learning may effectively...
AI-Decision Support System: Engineering, Geology, Climate, and Socioeconomic Aspects' Implications on Machine Learning
Phan Truong Khanh, Tran Thi Hong Ngoc, Sabyasachi Pramanik. © 2024. 22 pages.
From the impact of several corporeal, mechanized, ecological, and civic conditions, underground water pipelines degrade. A motivated administrative approach of the water supply...
Prediction of Water Quality Using Machine Learning
Tran Thi Hong Ngoc, Phan Truong Khanh, Sabyasachi Pramanik. © 2024. 20 pages.
With the fast growth of aquatic data, machine learning is essential for data analysis, categorization, and prediction. Data-driven models using machine learning may effectively...
Prediction of Water Quality Using Machine Learning
Tran Thi Hong Ngoc, Phan Truong Khanh, Sabyasachi Pramanik. © 2024. 14 pages.
With the fast growth of aquatic data, machine learning is essential for data analysis, categorization, and prediction. Data-driven models using machine learning may effectively...
Engineering, Geology, Climate, and Socioeconomic Aspects' Implications on Machine Learning-Dependent Water Pipe Collapse Prediction
Phan Truong Khanh, Tran Thi Hong Ngoc, Sabyasachi Pramanik. © 2024. 26 pages.
From the impact of several corporeal, mechanized, ecological, and civic conditions, underground water pipelines degrade. A motivated administrative approach of the water supply...
Smart Agriculture Using a Soil Monitoring System
Tran Thi Hong Ngoc, Phan Truong Khanh, Sabyasachi Pramanik. © 2023. 21 pages.
Information that is current and accurate is essential for resource optimization. Sensors in agriculture identify the soil's nutrients, moisture, organic matter, and clay....
Future of Smart Agriculture Techniques and Applications
Phan Truong Khanh, Tran Thi Hong Ngoc, Sabyasachi Pramanik. © 2023. 14 pages.
The world's oldest and most active profession is agriculture. There is an urgent need for society as a whole to think creatively and discover new effective answers to...