Fast Forecasting of Water-Filled Bodies Position Using Transient Electromagnetic Method Based on Deep Learning
Author:
Affiliation:
1. Yangtze Delta Region Institute, University of Electronic Science and Technology of China, Huzhou, China
2. Sixth Geological Brigade of Sichuan, Luzhou, China
Funder
Basic Scientific Research Program from the Yangtze Delta Region Institute, University of Electronic Science and Technology of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/36/10354519/10403851.pdf?arnumber=10403851
Reference37 articles.
1. Three dimensional inversion of multisource time domain electromagnetic data
2. Detection of Water-Filled Mining Goaf Using Mining Transient Electromagnetic Method
3. Rapid and High-Resolution Detection of Urban Underground Space Using Transient Electromagnetic Method
4. Modeling of Whole-Space Transient Electromagnetic Responses Based on FDTD and its Application in the Mining Industry
5. 1D Time Domain Electromagnetic Interpretations Over 2D / 3D Structures
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2. A Deep Learning Estimation for Probing Depth of Transient Electromagnetic Observation;Applied Sciences;2024-08-14
3. Detection of Underground Utility Pole Base for Distribution Transmission Network Based on Transient Electromagnetic Method;Science Journal of Energy Engineering;2024-07-15
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