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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 |
J Weld Join. 2021;39(1):10-19. Published online 2021 February 8 DOI: https://doi.org/10.5781/JWJ.2021.39.1.1 |
Review on the Recent Welding Research with Application of CNN-Based Deep Learning Part I: Models and Applications Review on the Recent Welding Research with Application of CNN-Based Deep Learning Part II: Model Evaluation and Visualizations Stock Price Prediction Using CNN and LSTM-Based Deep Learning Models CNN: A Review of Models, Application of IVD Segmentation Brain Tumor Classification Using Deep Transfer Learning CNN Models Noncontact Surface Roughness Evaluation of Milling Surface Using CNN-Deep Learning Models Deep Learning Based Models: Basic LSTM, Bi LSTM, Stacked LSTM, CNN LSTM and Conv LSTM to Forecast Agricultural Commodities Prices Dispersion and drift models: application to sea surface pollutant spread Modifications in recent models of phytoplankton growth: theoretical developments and experimental examination of predictions Recent Advances in Deep Learning CNN Models for Plant Disease Detection |
This metadata service is kindly provided by CrossRef from May 29, 2014. J Weld Join has participated in CrossRef Text and Data Mining service since October 29, 2014. |