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Prediction of underground mining-induced subsidence: Artificial neural network based approach.
- Published in:
- Mining of Mineral Deposits, 2023, v. 17, n. 4, p. 45, doi. 10.33271/mining17.04.045
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- Article
Establishing the Vertical Movement Map of Cuu Long Delta River by GNSS Data.
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- Inzynieria Mineralna, 2023, v. 52, n. 2, p. 173, doi. 10.29227/IM-2023-02-26
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- Article
Research and Development of Real-time High-precision GNSS Receivers: A Feasible Application for Surveying and Mapping in Vietnam.
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- Inzynieria Mineralna, 2021, v. 48, n. 2, p. 391, doi. 10.29227/IM-2021-02-36
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- Article
Spatial Prediction of Fluvial Flood in High-Frequency Tropical Cyclone Area Using TensorFlow 1D-Convolution Neural Networks and Geospatial Data.
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- Remote Sensing, 2023, v. 15, n. 22, p. 5429, doi. 10.3390/rs15225429
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- Article
Integrating Harris Hawks optimization and TensorFlow deep learning for flash flood susceptibility mapping using geospatial data.
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- Earth Science Informatics, 2024, v. 17, n. 4, p. 3397, doi. 10.1007/s12145-024-01351-1
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- Article