A Novel Deep Learning Model to Predict Ultimate Strength of Ship Plates under Compression by So-jeong Cho, Im-jun Ban, Sung-chul Shin

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Image Preprocessing Method in Radiographic Inspection for Automatic Detection of Ship Welding Defects by Gwang-ho Yun, Sang-jin Oh, Sung-chul Shin

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Prediction of Dynamic Responses of Flow-Induced Vibration Using Deep Learning by Gi-yong Kim, Chaeog Lim, Eun Soo Kim, Sung-chul Shin

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Automatic Detection of Welding Defects Using Faster R-CNN by Sang-jin Oh, Min-jae Jung, Chaeog Lim, Sung-chul Shin

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Sources of the Measurement Error of the Impact Pressure in Sloshing Experiments by Dong Hwi Kim, Eun Soo Kim, Sung-chul Shin, Sun Hong Kwon

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The development of internet based ship design support system for small and medium sized shipyards by Sung-Chul Shin, Soon-Sup Lee, Dong-Hoon Kang, Kyung-Ho Lee

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Research of design challenges and new technologies for floating LNG by Dong-Hyun Lee, Mun-Keun Ha, Soo-Young Kim, Sung-Chul Shin

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Extracting Weld Bead Shapes from Radiographic Testing Images with U-Net by Gang-soo Jin, Sang-jin Oh, Yeon-seung Lee, Sung-chul Shin

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Multi-Objective Optimization of Drilling Trajectory Considering Buckling Risk by Jiho Jeong, Chaeog Lim, Byeong-Cheol Park, Jeonghoon Bae, Sung-chul Shin

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PAUT-based defect detection method for submarine pressure hulls by Min-jae Jung, Byeong-cheol Park, Jeong-hoon Bae, Sung-chul Shin

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Comparative evaluation of different offshore wind turbine installation vessels for Korean west–south wind farm by Dang Ahn, Sung-chul Shin, Soo-young Kim, Hicham Kharoufi, Hyun-cheol Kim

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Damage scenarios and an onboard support system for damaged ships by Jin Choi, Dongkon Lee, Hee Jin Kang, Soo-Young Kim, Sung-Chul Shin

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A Data-Driven DNN Model to Predict the Ultimate Strength of a Ship’s Bottom Structure by Im-jun Ban, Chaeog Lim, Gi-yong Kim, Seo-young Choi, Sung-chul Shin

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Optimization of compartments arrangement of submarine pressure hull with knowledge based system by Bo-Young Chung, Soo-Young Kim, Sung-Chul Shin, Youn-Hoe Koo, Andreas Kraus

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Predictive Model for Hydrostatic Curves of Chine-Type Small Ships Based on Deep Learning by Dongkeun Lee, Chaeog Lim, Sang-jin Oh, Minjoon Kim, Jun Soo Park, Sung-chul Shin

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Electric power consumption predictive modeling of an electric propulsion ship considering the marine environment by Chae-og Lim, Byeong-cheol Park, Jae-chul Lee, Eun Soo Kim, Sung-chul Shin

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Comparison of corticocancellous bone graft from the anterolateral metaphysis of the distal radius versus iliac crest for the treatment of unstable scaphoid nonunion with humpback d... by Sung-Chul Shin, Nah-Yon Kim, Ho-Jung Kang, Shin-Woo Lee, Ji-Sup Kim

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Development of Fire Consequence Prediction Model in Fuel Gas Supply System Room with Changes in Operating Conditions during Liquefied Natural Gas Bunkering by Byeong-cheol Park, Chaeog Lim, Sang-jin Oh, Jeong-eun Lee, Min-jae Jung, Sung-chul Shin

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Ship Motion-Based Prediction of Damage Locations Using Bidirectional Long Short-Term Memory by Hye-young Son, Gi-yong Kim, Hee-jin Kang, Jin Choi, Dong-kon Lee, Sung-chul Shin

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A Study on the Optimization of the Coil Defect Detection Model Based on Deep Learning by Chun-Myoung Noh, Jun-Gyo Jang, Sung-Soo Kim, Soon-Sup Lee, Sung-Chul Shin, Jae-Chul Lee

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