Pham Viet Hoa

According to our database1, Pham Viet Hoa authored at least 12 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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Links

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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

Hybrid BBO-DE Optimized SPAARCTree Ensemble for Landslide Susceptibility Mapping.
Remote. Sens., April, 2023

2022
Evaluation of Chlorophyll-a estimation using Sentinel 3 based on various algorithms in southern coastal Vietnam.
Int. J. Appl. Earth Obs. Geoinformation, 2022

2021
Thirty-Year Dynamics of LULC at the Dong Thap Muoi Area, Southern Vietnam, Using Google Earth Engine.
ISPRS Int. J. Geo Inf., 2021

Spatial and decadal prediction of land use/land cover using multi-layer perceptron-neural network (MLP-NN) algorithm for a semi-arid region of Asir, Saudi Arabia.
Earth Sci. Informatics, 2021

2020
A New Hybrid Firefly-PSO Optimized Random Subspace Tree Intelligence for Torrential Rainfall-Induced Flash Flood Susceptible Mapping.
Remote. Sens., 2020

Gap-Free Monitoring of Annual Mangrove Forest Dynamics in Ca Mau Province, Vietnamese Mekong Delta, Using the Landsat-7-8 Archives and Post-Classification Temporal Optimization.
Remote. Sens., 2020

A tree-based intelligence ensemble approach for spatial prediction of potential groundwater.
Int. J. Digit. Earth, 2020

Comparative Assessment of Solar Radiation by Satellite-Based and Reanalysis Products Over Vietnam Regions.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019
Soil Salinity Mapping Using SAR Sentinel-1 Data and Advanced Machine Learning Algorithms: A Case Study at Ben Tre Province of the Mekong River Delta (Vietnam).
Remote. Sens., 2019


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