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A probabilistic framework for source localization in anisotropic composite using transfer learning based multi-fidelity physics informed neural network (mfPINN)
Research article (Mechanical Systems and Signal Processing, 2023) · cited 60× · AI/ML
A probabilistic framework for source localization in anisotropic composite using transfer learning based multi-fidelity physics informed neural network (mfPINN)
Summary
A probabilistic framework for source localization in anisotropic composite using transfer learning based multi-fidelity physics informed neural network (mfPINN) is a scholarly article[1].
Key Facts
A probabilistic framework for source localization in anisotropic composite using transfer learning based multi-fidelity physics informed neural network (mfPINN)'s instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). A probabilistic framework for source localization in anisotropic composite using transfer learning based multi-fidelity physics informed neural network (mfPINN). Retrieved May 24, 2026, from https://4ort.xyz/entity/a-probabilistic-framework-for-source-localization-in-anisotropic-composite-using-transfer-learning-based-multi-fidelity-
MLA“A probabilistic framework for source localization in anisotropic composite using transfer learning based multi-fidelity physics informed neural network (mfPINN).” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-probabilistic-framework-for-source-localization-in-anisotropic-composite-using-transfer-learning-based-multi-fidelity-.
BibTeX@misc{4ortxyz_a-probabilistic-framework-for-source-localization-in-anisotropic-composite-using-transfer-learning-based-multi-fidelity-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A probabilistic framework for source localization in anisotropic composite using transfer learning based multi-fidelity physics informed neural network (mfPINN)}}, year = {2026}, url = {https://4ort.xyz/entity/a-probabilistic-framework-for-source-localization-in-anisotropic-composite-using-transfer-learning-based-multi-fidelity-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A probabilistic framework for source localization in anisotropic composite using transfer learning based multi-fidelity physics informed neural network (mfPINN) — https://4ort.xyz/entity/a-probabilistic-framework-for-source-localization-in-anisotropic-composite-using-transfer-learning-based-multi-fidelity- (retrieved 2026-05-24)
