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Development of tool condition monitoring system in end milling process using wavelet features and Hoelder’s exponent with machine learning algorithms
Research article (Measurement, 2020) · cited 166× · AI/ML
Development of tool condition monitoring system in end milling process using wavelet features and Hoelder’s exponent with machine learning algorithms
Summary
Development of tool condition monitoring system in end milling process using wavelet features and Hoelder’s exponent with machine learning algorithms is a scholarly article[1].
Key Facts
Development of tool condition monitoring system in end milling process using wavelet features and Hoelder’s exponent with machine learning algorithms's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Development of tool condition monitoring system in end milling process using wavelet features and Hoelder’s exponent with machine learning algorithms. Retrieved May 24, 2026, from https://4ort.xyz/entity/development-of-tool-condition-monitoring-system-in-end-milling-process-using-wavelet-features-and-hoelders-exponent-with
MLA“Development of tool condition monitoring system in end milling process using wavelet features and Hoelder’s exponent with machine learning algorithms.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/development-of-tool-condition-monitoring-system-in-end-milling-process-using-wavelet-features-and-hoelders-exponent-with.
BibTeX@misc{4ortxyz_development-of-tool-condition-monitoring-system-in-end-milling-process-using-wavelet-features-and-hoelders-exponent-with_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Development of tool condition monitoring system in end milling process using wavelet features and Hoelder’s exponent with machine learning algorithms}}, year = {2026}, url = {https://4ort.xyz/entity/development-of-tool-condition-monitoring-system-in-end-milling-process-using-wavelet-features-and-hoelders-exponent-with}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Development of tool condition monitoring system in end milling process using wavelet features and Hoelder’s exponent with machine learning algorithms — https://4ort.xyz/entity/development-of-tool-condition-monitoring-system-in-end-milling-process-using-wavelet-features-and-hoelders-exponent-with (retrieved 2026-05-24)
