Home ›
Entities
› academia
› Recognition and classification of single melt tracks using deep neural network: A fast and effective method to determine process windows in selective laser melting
Recognition and classification of single melt tracks using deep neural network: A fast and effective method to determine process windows in selective laser melting
Research article (Journal of Manufacturing Processes, 2021) · cited 15× · AI/ML
Recognition and classification of single melt tracks using deep neural network: A fast and effective method to determine process windows in selective laser melting
Summary
Recognition and classification of single melt tracks using deep neural network: A fast and effective method to determine process windows in selective laser melting is a scholarly article[1].
Key Facts
Recognition and classification of single melt tracks using deep neural network: A fast and effective method to determine process windows in selective laser melting'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). Recognition and classification of single melt tracks using deep neural network: A fast and effective method to determine process windows in selective laser melting. Retrieved May 24, 2026, from https://4ort.xyz/entity/recognition-and-classification-of-single-melt-tracks-using-deep-neural-network-a-fast-and-effective-method-to-determine-
MLA“Recognition and classification of single melt tracks using deep neural network: A fast and effective method to determine process windows in selective laser melting.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/recognition-and-classification-of-single-melt-tracks-using-deep-neural-network-a-fast-and-effective-method-to-determine-.
BibTeX@misc{4ortxyz_recognition-and-classification-of-single-melt-tracks-using-deep-neural-network-a-fast-and-effective-method-to-determine-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Recognition and classification of single melt tracks using deep neural network: A fast and effective method to determine process windows in selective laser melting}}, year = {2026}, url = {https://4ort.xyz/entity/recognition-and-classification-of-single-melt-tracks-using-deep-neural-network-a-fast-and-effective-method-to-determine-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Recognition and classification of single melt tracks using deep neural network: A fast and effective method to determine process windows in selective laser melting — https://4ort.xyz/entity/recognition-and-classification-of-single-melt-tracks-using-deep-neural-network-a-fast-and-effective-method-to-determine- (retrieved 2026-05-24)
