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Groundwater contamination source identification and high-dimensional parameter inversion using residual dense convolutional neural network

Research article (Journal of Hydrology, 2022) · cited 38× · AI/ML
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Groundwater contamination source identification and high-dimensional parameter inversion using residual dense convolutional neural network

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Groundwater contamination source identification and high-dimensional parameter inversion using residual dense convolutional neural network is a scholarly article[1].

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  • Groundwater contamination source identification and high-dimensional parameter inversion using residual dense convolutional neural network's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Groundwater contamination source identification and high-dimensional parameter inversion using residual dense convolutional neural network. Retrieved May 24, 2026, from https://4ort.xyz/entity/groundwater-contamination-source-identification-and-high-dimensional-parameter-inversion-using-residual-dense-convolutio
MLA “Groundwater contamination source identification and high-dimensional parameter inversion using residual dense convolutional neural network.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/groundwater-contamination-source-identification-and-high-dimensional-parameter-inversion-using-residual-dense-convolutio.
BibTeX @misc{4ortxyz_groundwater-contamination-source-identification-and-high-dimensional-parameter-inversion-using-residual-dense-convolutio_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Groundwater contamination source identification and high-dimensional parameter inversion using residual dense convolutional neural network}}, year = {2026}, url = {https://4ort.xyz/entity/groundwater-contamination-source-identification-and-high-dimensional-parameter-inversion-using-residual-dense-convolutio}, note = {Accessed: 2026-05-24}}
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