Recognition of shear and tension signals based on acoustic emission parameters and waveform using machine learning methods

Research article (International Journal of Rock Mechanics and Mining Sciences, 2023) · cited 77× · AI/ML
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Recognition of shear and tension signals based on acoustic emission parameters and waveform using machine learning methods

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Recognition of shear and tension signals based on acoustic emission parameters and waveform using machine learning methods is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Recognition of shear and tension signals based on acoustic emission parameters and waveform using machine learning methods. Retrieved May 24, 2026, from https://4ort.xyz/entity/recognition-of-shear-and-tension-signals-based-on-acoustic-emission-parameters-and-waveform-using-machine-learning-metho
MLA “Recognition of shear and tension signals based on acoustic emission parameters and waveform using machine learning methods.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/recognition-of-shear-and-tension-signals-based-on-acoustic-emission-parameters-and-waveform-using-machine-learning-metho.
BibTeX @misc{4ortxyz_recognition-of-shear-and-tension-signals-based-on-acoustic-emission-parameters-and-waveform-using-machine-learning-metho_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Recognition of shear and tension signals based on acoustic emission parameters and waveform using machine learning methods}}, year = {2026}, url = {https://4ort.xyz/entity/recognition-of-shear-and-tension-signals-based-on-acoustic-emission-parameters-and-waveform-using-machine-learning-metho}, note = {Accessed: 2026-05-24}}
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