Development and Validation of a Faith Scale for Young Children by Sungwon Kim

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The mediating effect of teacher commitment in the relationship between burnout and role performance of early childhood teachers by Sungwon Kim, Jiyoung Lee

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Enhancing Metal Surface Defect Recognition Through Image Patching and Synthetic Defect Generation by Bekhzod Mustafaev, Sungwon Kim, Eungsoo Kim

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Behavior of an Internally Confined Hollow Reinforced Concrete Column with a Polygonal Cross-Section by Sungwon Kim, Hyemin Hong, Taekhee Han

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Experimental Evaluation of Connectors Performance for Modular Double-Skinned Composite Tubular Wind Turbine Tower by Sungwon Kim, Hyemin Hong, Taek Hee Han

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A Novel Method to Inspect 3D Ball Joint Socket Products Using 2D Convolutional Neural Network with Spatial and Channel Attention by Bekhzod Mustafaev, Anvarjon Tursunov, Sungwon Kim, Eungsoo Kim

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Effects of Intra-Articular Triamcinolone Injection on Adhesive Capsulitis after Breast Cancer Surgery by Sungwon Kim, Sunwoo Kim, Jong Geol Do, Ji Hye Hwang

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Pathologic Complete Response Prediction after Neoadjuvant Chemoradiation Therapy for Rectal Cancer Using Radiomics and Deep Embedding Network of MRI by Seunghyun Lee, Joonseok Lim, Jaeseung Shin, Sungwon Kim, Heasoo Hwang

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A structure translation model for crystal compounds by Sungwon Kim, Juhwan Noh, Taewon Jin, Jaewan Lee, Yousung Jung

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Designing a reliable machine learning system for accurately estimating the ultimate condition of FRP-confined concrete by Meysam Alizamir, Aliakbar Gholampour, Sungwon Kim, Behrooz Keshtegar, Woo-tai Jung

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Predicting biochemical oxygen demand in wastewater treatment plant using advance extreme learning machine optimized by Bat algorithm by Hayat Mekaoussi, Salim Heddam, Nouri Bouslimanni, Sungwon Kim, Mohammad Zounemat-Kermani

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Usefulness and safety of the “God’s Hand” pneumatic compression device for hemostasis in femoral catheterization by Sungwon Kim, Jae Hyun Kwon, Yoon Hee Han, Jeung Sook Kim

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Hospital-wide survey of clinical experience with artificial intelligence applied to daily chest radiographs. by Hyun Joo Shin, Seungsoo Lee, Sungwon Kim, Nak-Hoon Son, Eun-Kyung Kim

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Hospital-wide survey of clinical experience with artificial intelligence applied to daily chest radiographs by Hyun Joo Shin, Seungsoo Lee, Sungwon Kim, Nak-Hoon Son, Eun-Kyung Kim

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Temporary Ureter Occlusion with Simultaneous Urinary Diversion via a Single-Access Route Using a 4-French Balloon Catheter and a Pigtail Nephrostomy Drainage Catheter by Chang Hoon Oh, Soo Buem Cho, Sang Lim Choi, Sungwon Kim, Hyeyoung Kwon

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What should medical students know about artificial intelligence in medicine? by Seong Ho Park, Kyung-Hyun Do, Sungwon Kim, Joo Hyun Park, Young-Suk Lim

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Developing an efficient explainable artificial intelligence approach for accurate reverse osmosis desalination plant performance prediction: application of SHAP analysis by Meysam Alizamir, Mo Wang, Rana Muhammad Adnan Ikram, Sungwon Kim, Kaywan Othman Ahmed, Salim Heddam

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An efficient computational investigation on accurate daily soil temperature prediction using boosting ensemble methods explanation based on SHAP importance analysis by Meysam Alizamir, Mo Wang, Rana Muhammad Adnan Ikram, Kaywan Othman Ahmed, Salim Heddam, Sungwon Kim

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Development of artificial intelligence models for well groundwater quality simulation: Different modeling scenarios. by Naser Shiri, Jalal Shiri, Zaher Mundher Yaseen, Sungwon Kim, Il-Moon Chung, Vahid Nourani, Mohammad Zounemat-Kermani

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An interpretable XGBoost-SHAP machine learning model for reliable prediction of mechanical properties in waste foundry sand-based eco-friendly concrete by Meysam Alizamir, Mo Wang, Rana Muhammad Adnan Ikram, Aliakbar Gholampour, Kaywan Othman Ahmed, Salim Heddam, Sungwon Kim

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