Optimized convolutional neural network - kernel ridge regression-error correction method: an advanced model for predicting soil saturated hydraulic conductivity

Parisa Kahkhamoghadam, Mohammad Mahdi Chari, Mohammad ehteram

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DOI: 10.1038/s41598-026-55796-z
Published: 2026-06-16
Container: Scientific Reports
Publisher: Springer Science and Business Media LLC
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Cite this work

BibTeX

@article{allodium:10.1038/s41598-026-55796-z,
  title = {Optimized convolutional neural network - kernel ridge regression-error correction method: an advanced model for predicting soil saturated hydraulic conductivity},
  author = {Parisa Kahkhamoghadam and Mohammad Mahdi Chari and Mohammad ehteram},
  year = {2026},
  journal = {Scientific Reports},
  doi = {10.1038/s41598-026-55796-z},
  url = {https://doi.org/10.1038/s41598-026-55796-z}
}

RIS

TY  - JOUR
TI  - Optimized convolutional neural network - kernel ridge regression-error correction method: an advanced model for predicting soil saturated hydraulic conductivity
AU  - Parisa Kahkhamoghadam
AU  - Mohammad Mahdi Chari
AU  - Mohammad ehteram
PY  - 2026
JO  - Scientific Reports
DO  - 10.1038/s41598-026-55796-z
UR  - https://doi.org/10.1038/s41598-026-55796-z
ER  -

APA

Kahkhamoghadam, P., Chari, M. M., & ehteram, M. (2026). Optimized convolutional neural network - kernel ridge regression-error correction method: an advanced model for predicting soil saturated hydraulic conductivity. Scientific Reports. https://doi.org/10.1038/s41598-026-55796-z

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crossref · retrieved 2026-09-26T11:26:10.162Z