Feature selection for neural network based defect classification of ceramic components using high frequency ultrasound
Summary
Feature selection for neural network based defect classification of ceramic components using high frequency ultrasound is a scholarly article[1].
Key Facts
Feature selection for neural network based defect classification of ceramic components using high frequency ultrasound's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Feature selection for neural network based defect classification of ceramic components using high frequency ultrasound. Retrieved May 24, 2026, from https://4ort.xyz/entity/feature-selection-for-neural-network-based-defect-classification-of-ceramic-components-using-high-frequency-ultrasound
MLA“Feature selection for neural network based defect classification of ceramic components using high frequency ultrasound.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/feature-selection-for-neural-network-based-defect-classification-of-ceramic-components-using-high-frequency-ultrasound.
BibTeX@misc{4ortxyz_feature-selection-for-neural-network-based-defect-classification-of-ceramic-components-using-high-frequency-ultrasound_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Feature selection for neural network based defect classification of ceramic components using high frequency ultrasound}}, year = {2026}, url = {https://4ort.xyz/entity/feature-selection-for-neural-network-based-defect-classification-of-ceramic-components-using-high-frequency-ultrasound}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Feature selection for neural network based defect classification of ceramic components using high frequency ultrasound — https://4ort.xyz/entity/feature-selection-for-neural-network-based-defect-classification-of-ceramic-components-using-high-frequency-ultrasound (retrieved 2026-05-24)
