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Highly sensitive terahertz non‐destructive testing technology for stone relics deterioration prediction using SVM-based machine learning models
Research article (Heritage Science, 2021) · cited 31× · AI/ML
Highly sensitive terahertz non‐destructive testing technology for stone relics deterioration prediction using SVM-based machine learning models
Summary
Highly sensitive terahertz non‐destructive testing technology for stone relics deterioration prediction using SVM-based machine learning models is a scholarly article[1].
Key Facts
Highly sensitive terahertz non‐destructive testing technology for stone relics deterioration prediction using SVM-based machine learning models's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Highly sensitive terahertz non‐destructive testing technology for stone relics deterioration prediction using SVM-based machine learning models. Retrieved May 24, 2026, from https://4ort.xyz/entity/highly-sensitive-terahertz-nondestructive-testing-technology-for-stone-relics-deterioration-prediction-using-svm-based-m
MLA“Highly sensitive terahertz non‐destructive testing technology for stone relics deterioration prediction using SVM-based machine learning models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/highly-sensitive-terahertz-nondestructive-testing-technology-for-stone-relics-deterioration-prediction-using-svm-based-m.
BibTeX@misc{4ortxyz_highly-sensitive-terahertz-nondestructive-testing-technology-for-stone-relics-deterioration-prediction-using-svm-based-m_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Highly sensitive terahertz non‐destructive testing technology for stone relics deterioration prediction using SVM-based machine learning models}}, year = {2026}, url = {https://4ort.xyz/entity/highly-sensitive-terahertz-nondestructive-testing-technology-for-stone-relics-deterioration-prediction-using-svm-based-m}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Highly sensitive terahertz non‐destructive testing technology for stone relics deterioration prediction using SVM-based machine learning models — https://4ort.xyz/entity/highly-sensitive-terahertz-nondestructive-testing-technology-for-stone-relics-deterioration-prediction-using-svm-based-m (retrieved 2026-05-24)
