An unsupervised pattern recognition approach for AE data originating from fatigue tests on polymer–composite materials

Research article (Mechanical Systems and Signal Processing, 2015) · cited 65× · AI/ML
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An unsupervised pattern recognition approach for AE data originating from fatigue tests on polymer–composite materials is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An unsupervised pattern recognition approach for AE data originating from fatigue tests on polymer–composite materials. Retrieved October 15, 2026, from https://4ort.xyz/entity/an-unsupervised-pattern-recognition-approach-for-ae-data-originating-from-fatigue-tests-on-polymercomposite-materials
MLA “An unsupervised pattern recognition approach for AE data originating from fatigue tests on polymer–composite materials.” 4ort.xyz Knowledge Graph, 4ort.xyz, 15 Oct. 2026, https://4ort.xyz/entity/an-unsupervised-pattern-recognition-approach-for-ae-data-originating-from-fatigue-tests-on-polymercomposite-materials.
BibTeX @misc{4ortxyz_an-unsupervised-pattern-recognition-approach-for-ae-data-originating-from-fatigue-tests-on-polymercomposite-materials_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An unsupervised pattern recognition approach for AE data originating from fatigue tests on polymer–composite materials}}, year = {2026}, url = {https://4ort.xyz/entity/an-unsupervised-pattern-recognition-approach-for-ae-data-originating-from-fatigue-tests-on-polymercomposite-materials}, note = {Accessed: 2026-10-15}}
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