Viet-Ha Nhu
Orcid: 0000-0003-1812-950X
According to our database1,
Viet-Ha Nhu
authored at least 14 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
A New Approach Based on Deep Neural Networks and Multisource Geospatial Data for Spatial Prediction of Groundwater Spring Potential.
IEEE Access, 2024
2023
Comparative Analysis of Deep Learning and Swarm-Optimized Random Forest for Groundwater Spring Potential Identification in Tropical Regions.
Remote. Sens., October, 2023
A New Approach Based on TensorFlow Deep Neural Networks with ADAM Optimizer and GIS for Spatial Prediction of Forest Fire Danger in Tropical Areas.
Remote. Sens., July, 2023
2022
An advanced meta-learner based on artificial electric field algorithm optimized stacking ensemble techniques for enhancing prediction accuracy of soil shear strength.
Eng. Comput., 2022
Deformation forecasting of a hydropower dam by hybridizing a long short-term memory deep learning network with the coronavirus optimization algorithm.
Comput. Aided Civ. Infrastructure Eng., 2022
2021
A new approach of deep neural computing for spatial prediction of wildfire danger at tropical climate areas.
Ecol. Informatics, 2021
2020
A New Hybrid Firefly-PSO Optimized Random Subspace Tree Intelligence for Torrential Rainfall-Induced Flash Flood Susceptible Mapping.
Remote. Sens., 2020
A New Modeling Approach for Spatial Prediction of Flash Flood with Biogeography Optimized CHAID Tree Ensemble and Remote Sensing Data.
Remote. Sens., 2020
Daily Water Level Prediction of Zrebar Lake (Iran): A Comparison between M5P, Random Forest, Random Tree and Reduced Error Pruning Trees Algorithms.
ISPRS Int. J. Geo Inf., 2020
Advanced soft computing techniques for predicting soil compression coefficient in engineering project: a comparative study.
Eng. Comput., 2020
A hybrid computational intelligence approach for predicting soil shear strength for urban housing construction: a case study at Vinhomes Imperia project, Hai Phong city (Vietnam).
Eng. Comput., 2020
A tree-based intelligence ensemble approach for spatial prediction of potential groundwater.
Int. J. Digit. Earth, 2020
2019
A swarm intelligence-based machine learning approach for predicting soil shear strength for road construction: a case study at Trung Luong National Expressway Project (Vietnam).
Eng. Comput., 2019
2018
Prediction of soil compression coefficient for urban housing project using novel integration machine learning approach of swarm intelligence and Multi-layer Perceptron Neural Network.
Adv. Eng. Informatics, 2018