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Assessing the applicability of the soil and water assessment tool–deep learning hybrid model for predicting total nitrogen loads in a mixed agricultural watershed

by Jeong, Dae Seong, Jeong, Heewon, Kim, Joon Ha, Kwon, Do Hyuk, Kim, Jin Hwi, Park, Yongeun
Published in Journal of contaminant hydrology (01.01.2026)

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Reliability in multi-site structural MRI studies: Effects of gradient non-linearity correction on phantom and human data

by Jovicich, Jorge, Czanner, Silvester, Greve, Douglas, Haley, Elizabeth, van der Kouwe, Andre, Gollub, Randy, Kennedy, David, Schmitt, Franz, Brown, Gregory, MacFall, James, Fischl, Bruce, Dale, Anders
Published in NeuroImage (Orlando, Fla.) (01.04.2006)

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Multi-site land surface model optimization: An exploration of objective functions

by Fischer, Graciela R., Costa, Marcos H., Murta, Fabrício Z., Malhado, Ana C.M., Aguiar, Leonardo J.G., Ladle, Richard J.
Published in Agricultural and forest meteorology (15.12.2013)

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Journal Article

Assessing the applicability of the soil and water assessment tool–deep learning hybrid model for predicting total nitrogen loads in a mixed agricultural watershed

Reliability in multi-site structural MRI studies: Effects of gradient non-linearity correction on phantom and human data

Multi-site land surface model optimization: An exploration of objective functions

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