Acoustic emission monitoring of sawing process: artificial intelligence approach for optimal sensory feature selection

Research article (The International Journal of Advanced Manufacturing Technology, 2019) · cited 59× · AI/ML
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Acoustic emission monitoring of sawing process: artificial intelligence approach for optimal sensory feature selection

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Acoustic emission monitoring of sawing process: artificial intelligence approach for optimal sensory feature selection is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Acoustic emission monitoring of sawing process: artificial intelligence approach for optimal sensory feature selection. Retrieved May 24, 2026, from https://4ort.xyz/entity/acoustic-emission-monitoring-of-sawing-process-artificial-intelligence-approach-for-optimal-sensory-feature-selection
MLA “Acoustic emission monitoring of sawing process: artificial intelligence approach for optimal sensory feature selection.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/acoustic-emission-monitoring-of-sawing-process-artificial-intelligence-approach-for-optimal-sensory-feature-selection.
BibTeX @misc{4ortxyz_acoustic-emission-monitoring-of-sawing-process-artificial-intelligence-approach-for-optimal-sensory-feature-selection_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Acoustic emission monitoring of sawing process: artificial intelligence approach for optimal sensory feature selection}}, year = {2026}, url = {https://4ort.xyz/entity/acoustic-emission-monitoring-of-sawing-process-artificial-intelligence-approach-for-optimal-sensory-feature-selection}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Acoustic emission monitoring of sawing process: artificial intelligence approach for optimal sensory feature selection — https://4ort.xyz/entity/acoustic-emission-monitoring-of-sawing-process-artificial-intelligence-approach-for-optimal-sensory-feature-selection (retrieved 2026-05-24)

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