Hybrid Approach for Early Warning of Mine Water: Energy Density-Based Identification of Water-Conducting Channels Combined With Water Inflow Prediction by SA-LSTM.
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%0 Journal Article
%1 journals/tgrs/YangLSXLTLYD24
%A Yang, Songlin
%A Lian, Huiqing
%A Soltanian, Mohamad Reza
%A Xu, Bin
%A Liu, Wei
%A Thanh, Hung Vo
%A Li, Yarui
%A Yin, Huichao
%A Dai, Zhenxue
%D 2024
%J IEEE Trans. Geosci. Remote. Sens.
%K dblp
%P 1-12
%T Hybrid Approach for Early Warning of Mine Water: Energy Density-Based Identification of Water-Conducting Channels Combined With Water Inflow Prediction by SA-LSTM.
%U http://dblp.uni-trier.de/db/journals/tgrs/tgrs62.html#YangLSXLTLYD24
%V 62
@article{journals/tgrs/YangLSXLTLYD24,
added-at = {2024-05-07T00:00:00.000+0200},
author = {Yang, Songlin and Lian, Huiqing and Soltanian, Mohamad Reza and Xu, Bin and Liu, Wei and Thanh, Hung Vo and Li, Yarui and Yin, Huichao and Dai, Zhenxue},
biburl = {https://www.bibsonomy.org/bibtex/24559aa746d9d4c59c95a027e1ffe8220/dblp},
ee = {https://doi.org/10.1109/TGRS.2024.3384990},
interhash = {2aa60256b58846e4ddd6d43118622f27},
intrahash = {4559aa746d9d4c59c95a027e1ffe8220},
journal = {IEEE Trans. Geosci. Remote. Sens.},
keywords = {dblp},
pages = {1-12},
timestamp = {2024-05-13T07:18:51.000+0200},
title = {Hybrid Approach for Early Warning of Mine Water: Energy Density-Based Identification of Water-Conducting Channels Combined With Water Inflow Prediction by SA-LSTM.},
url = {http://dblp.uni-trier.de/db/journals/tgrs/tgrs62.html#YangLSXLTLYD24},
volume = 62,
year = 2024
}
