Contamination Source Identification: A Bayesian Framework Integrating Physical and Statistical Models

Research article (IEEE Transactions on Industrial Informatics, 2021) · cited 10× · AI/ML
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Contamination Source Identification: A Bayesian Framework Integrating Physical and Statistical Models

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Contamination Source Identification: A Bayesian Framework Integrating Physical and Statistical Models is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Contamination Source Identification: A Bayesian Framework Integrating Physical and Statistical Models. Retrieved May 24, 2026, from https://4ort.xyz/entity/contamination-source-identification-a-bayesian-framework-integrating-physical-and-statistical-models
MLA “Contamination Source Identification: A Bayesian Framework Integrating Physical and Statistical Models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/contamination-source-identification-a-bayesian-framework-integrating-physical-and-statistical-models.
BibTeX @misc{4ortxyz_contamination-source-identification-a-bayesian-framework-integrating-physical-and-statistical-models_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Contamination Source Identification: A Bayesian Framework Integrating Physical and Statistical Models}}, year = {2026}, url = {https://4ort.xyz/entity/contamination-source-identification-a-bayesian-framework-integrating-physical-and-statistical-models}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Contamination Source Identification: A Bayesian Framework Integrating Physical and Statistical Models — https://4ort.xyz/entity/contamination-source-identification-a-bayesian-framework-integrating-physical-and-statistical-models (retrieved 2026-05-24)

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