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Article
Integrated machine learning and remote sensing for groundwater potential map** in the Mekong Delta in Vietnam
Evaluating groundwater potential is critical for the socioeconomic development of Vietnam. This research aims to assess the underground water potential in the country’s Mekong Delta using the machine learning ...
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Article
Application of hybrid model-based machine learning for groundwater potential prediction in the north central of Vietnam
Groundwater resources are required for domestic water supply, agriculture, and industry, and the strategic importance of water resources will only increase in the context of climate change and population growt...
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Article
Solving the spatial extrapolation problem in flood susceptibility using hybrid machine learning, remote sensing, and GIS
Floods are arguably the most impactful of natural hazards. The increasing magnitude of their effects on the environment, human life, and economic activities calls for improved management of water resources. Fl...
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Article
Bottom-up approach for flood-risk management in develo** countries: a case study in the Gianh River watershed of Vietnam
The effects of flooding can be very serious, especially in develo** countries, where rapid urbanization and socio-economic development increases risk. Reliable information is crucial to support decision-make...
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Article
Soil salinity prediction using hybrid machine learning and remote sensing in Ben Tre province on Vietnam’s Mekong River Delta
Soil salinization is considered one of the disasters that have significant effects on agricultural activities in many parts of the world, particularly in the context of climate change and sea level rise. This ...
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Article
Application of hybrid model-based deep learning and swarm‐based optimizers for flood susceptibility prediction in Binh Dinh province, Vietnam
Flooding is a serious natural hazard. It causes considerable impact on human life, the environment, and property, worldwide. Building a highly accurate flood susceptibility map can reduce disaster damage; it h...
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Article
Open AccessHigher tacrolimus trough levels and time in the therapeutic range are associated with the risk of acute rejection in the first month after renal transplantation
Tacrolimus trough levels (C0) are used in most transplant centres for therapeutic drug monitoring (TDM) of tacrolimus (Tac). The target range of Tac C0 has been remarkably changed, with a target as low as 3–7 ng/...
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Article
GIS-based hybrid machine learning for flood susceptibility prediction in the Nhat Le–Kien Giang watershed, Vietnam
Floods is a natural hazard that occurs over a short time with a high transmission speed. Flood risk management in many countries employs flood susceptibility modeling to mitigate against the damage to the econ...
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Article
Flood susceptibility map** using advanced hybrid machine learning and CyGNSS: a case study of Nghe An province, Vietnam
Flooding is currently the most dangerous natural hazard. It can have heavy human and material impacts and, in recent years, flooding has tended to occur more frequently, due to changes our species has made to ...
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Article
Quadratic Discriminant Analysis Based Ensemble Machine Learning Models for Groundwater Potential Modeling and Map**
In this study, the AdaBoost, MultiBoost and RealAdaBoost methods were combined with the Quadratic Discriminant Analysis method to develop three new GIS-based Machine Learning ensemble models, i.e., ABQDA, MBQD...
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Article
Henry’s gas solubility optimization algorithm in formulating deep neural network for landslide susceptibility assessment in mountainous areas
This paper investigates a novel hybrid model that employs Henry’s gas solubility optimization algorithm to search for adaptive weights of a deep neural network for a landslide susceptibility application. The m...
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Article
Improvement of Best First Decision Trees Using Bagging and Dagging Ensembles for Flood Probability Map**
Development of zoning and flood-forecasting models is essential for making optimal management decisions before and after floods. The Komijan watershed of Markazi Province, Iran is often affected by floods that...
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Article
Complementary do** of van der Waals materials through controlled intercalation for monolithically integrated electronics
Do** control has been a key challenge for electronic applications of van der Waals materials. Here, we demonstrate complementary do** of black phosphorus using controlled ionic intercalation to achieve mon...
