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Deep learning approach to coal and gas outburst recognition employing modified AE and EMR signal from empirical mode decomposition and time-frequency analysis
Research article (Journal of Natural Gas Science and Engineering, 2021) · cited 40× · AI/ML
Deep learning approach to coal and gas outburst recognition employing modified AE and EMR signal from empirical mode decomposition and time-frequency analysis
Summary
Deep learning approach to coal and gas outburst recognition employing modified AE and EMR signal from empirical mode decomposition and time-frequency analysis is a scholarly article[1].
Key Facts
Deep learning approach to coal and gas outburst recognition employing modified AE and EMR signal from empirical mode decomposition and time-frequency analysis's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Deep learning approach to coal and gas outburst recognition employing modified AE and EMR signal from empirical mode decomposition and time-frequency analysis. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-learning-approach-to-coal-and-gas-outburst-recognition-employing-modified-ae-and-emr-signal-from-empirical-mode-dec
MLA“Deep learning approach to coal and gas outburst recognition employing modified AE and EMR signal from empirical mode decomposition and time-frequency analysis.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-learning-approach-to-coal-and-gas-outburst-recognition-employing-modified-ae-and-emr-signal-from-empirical-mode-dec.
BibTeX@misc{4ortxyz_deep-learning-approach-to-coal-and-gas-outburst-recognition-employing-modified-ae-and-emr-signal-from-empirical-mode-dec_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep learning approach to coal and gas outburst recognition employing modified AE and EMR signal from empirical mode decomposition and time-frequency analysis}}, year = {2026}, url = {https://4ort.xyz/entity/deep-learning-approach-to-coal-and-gas-outburst-recognition-employing-modified-ae-and-emr-signal-from-empirical-mode-dec}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep learning approach to coal and gas outburst recognition employing modified AE and EMR signal from empirical mode decomposition and time-frequency analysis — https://4ort.xyz/entity/deep-learning-approach-to-coal-and-gas-outburst-recognition-employing-modified-ae-and-emr-signal-from-empirical-mode-dec (retrieved 2026-05-24)
