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Transfer learning improves the prediction performance of a LIBS model for metals with an irregular surface by effectively correcting the physical matrix effect
Research article (Journal of Analytical Atomic Spectrometry, 2021) · cited 35× · AI/ML
Transfer learning improves the prediction performance of a LIBS model for metals with an irregular surface by effectively correcting the physical matrix effect
Summary
Transfer learning improves the prediction performance of a LIBS model for metals with an irregular surface by effectively correcting the physical matrix effect is a scholarly article[1].
Key Facts
Transfer learning improves the prediction performance of a LIBS model for metals with an irregular surface by effectively correcting the physical matrix effect's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Transfer learning improves the prediction performance of a LIBS model for metals with an irregular surface by effectively correcting the physical matrix effect. Retrieved May 24, 2026, from https://4ort.xyz/entity/transfer-learning-improves-the-prediction-performance-of-a-libs-model-for-metals-with-an-irregular-surface-by-effectivel
MLA“Transfer learning improves the prediction performance of a LIBS model for metals with an irregular surface by effectively correcting the physical matrix effect.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/transfer-learning-improves-the-prediction-performance-of-a-libs-model-for-metals-with-an-irregular-surface-by-effectivel.
BibTeX@misc{4ortxyz_transfer-learning-improves-the-prediction-performance-of-a-libs-model-for-metals-with-an-irregular-surface-by-effectivel_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Transfer learning improves the prediction performance of a LIBS model for metals with an irregular surface by effectively correcting the physical matrix effect}}, year = {2026}, url = {https://4ort.xyz/entity/transfer-learning-improves-the-prediction-performance-of-a-libs-model-for-metals-with-an-irregular-surface-by-effectivel}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Transfer learning improves the prediction performance of a LIBS model for metals with an irregular surface by effectively correcting the physical matrix effect — https://4ort.xyz/entity/transfer-learning-improves-the-prediction-performance-of-a-libs-model-for-metals-with-an-irregular-surface-by-effectivel (retrieved 2026-05-24)
