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APA4ort.xyz Knowledge Graph. (2026). Machine learning approaches towards digital twin development for machining systems. Retrieved May 24, 2026, from https://4ort.xyz/entity/machine-learning-approaches-towards-digital-twin-development-for-machining-systems
MLA“Machine learning approaches towards digital twin development for machining systems.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/machine-learning-approaches-towards-digital-twin-development-for-machining-systems.
BibTeX@misc{4ortxyz_machine-learning-approaches-towards-digital-twin-development-for-machining-systems_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine learning approaches towards digital twin development for machining systems}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learning-approaches-towards-digital-twin-development-for-machining-systems}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Machine learning approaches towards digital twin development for machining systems — https://4ort.xyz/entity/machine-learning-approaches-towards-digital-twin-development-for-machining-systems (retrieved 2026-05-24)