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Review on the Recent Welding Research with Application of CNN-Based Deep Learning Part I: Models and Applications
Kidong Lee, Sung Yi, Soongkeun Hyun, Cheolhee Kim
JWJ. 2021;39(1):10-19.   Published online 2021 February 8    DOI: https://doi.org/10.5781/JWJ.2021.39.1.1

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Review on the Recent Welding Research with Application of CNN-Based Deep Learning Part I: Models and Applications
Journal of Welding and Joining. 2021;39(1):10-19   Crossref logo
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Review on the Recent Welding Research with Application of CNN-Based Deep Learning Part II: Model Evaluation and Visualizations
Journal of Welding and Joining. 2021;39(1):20-26   Crossref logo
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Modifications in recent models of phytoplankton growth: theoretical developments and experimental examination of predictions
Deep Sea Research Part B. Oceanographic Literature Review. 1985;32(12):1039   Crossref logo
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Dispersion and drift models: application to sea surface pollutant spread
Deep Sea Research Part B. Oceanographic Literature Review. 1980;27(12):847   Crossref logo
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Estimation of the kinetics of geochemical reactions with geophysical models of sedimentary basins and applications
Deep Sea Research Part B. Oceanographic Literature Review. 1985;32(12):1021   Crossref logo
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Geochronology of recent deposits
Deep Sea Research Part B. Oceanographic Literature Review. 1984;31(12):882   Crossref logo
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Selection of optimal management strategies based on stochastic dynamic ecological models
Deep Sea Research Part B. Oceanographic Literature Review. 1987;34(12):1083   Crossref logo
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Reliability of circulation models
Deep Sea Research Part B. Oceanographic Literature Review. 1986;33(3):200   Crossref logo
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Recent Advances in Deep Learning
Deep Learning with Python. 2021;287-300   Crossref logo
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AudVowelConsNet: A phoneme-level based deep CNN architecture for clinical depression diagnosis
Machine Learning with Applications. 2020;2:100005   Crossref logo
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This metadata service is kindly provided by CrossRef from May 29, 2014. Journal of Welding and Joining has participated in CrossRef Text and Data Mining service since October 29, 2014.