Home ›
Entities
› academia
› In-line image analysis of particulate processes with deep learning: Optimizing training data generation via copy-paste augmentation
In-line image analysis of particulate processes with deep learning: Optimizing training data generation via copy-paste augmentation
Research article (Powder Technology, 2024) · cited 11× · AI/ML
In-line image analysis of particulate processes with deep learning: Optimizing training data generation via copy-paste augmentation
Summary
In-line image analysis of particulate processes with deep learning: Optimizing training data generation via copy-paste augmentation is a scholarly article[1].
Key Facts
In-line image analysis of particulate processes with deep learning: Optimizing training data generation via copy-paste augmentation'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). In-line image analysis of particulate processes with deep learning: Optimizing training data generation via copy-paste augmentation. Retrieved May 24, 2026, from https://4ort.xyz/entity/in-line-image-analysis-of-particulate-processes-with-deep-learning-optimizing-training-data-generation-via-copy-paste-au
MLA“In-line image analysis of particulate processes with deep learning: Optimizing training data generation via copy-paste augmentation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/in-line-image-analysis-of-particulate-processes-with-deep-learning-optimizing-training-data-generation-via-copy-paste-au.
BibTeX@misc{4ortxyz_in-line-image-analysis-of-particulate-processes-with-deep-learning-optimizing-training-data-generation-via-copy-paste-au_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{In-line image analysis of particulate processes with deep learning: Optimizing training data generation via copy-paste augmentation}}, year = {2026}, url = {https://4ort.xyz/entity/in-line-image-analysis-of-particulate-processes-with-deep-learning-optimizing-training-data-generation-via-copy-paste-au}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): In-line image analysis of particulate processes with deep learning: Optimizing training data generation via copy-paste augmentation — https://4ort.xyz/entity/in-line-image-analysis-of-particulate-processes-with-deep-learning-optimizing-training-data-generation-via-copy-paste-au (retrieved 2026-05-24)