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Akademický článek

Extracting Fallen Objects on the Road From Accident Reports Using a Natural Language Processing Model-Based Approach

Autor: Seung-Seok Lee, So-Mi Cha, Bonggyun Ko, Je Jin Park

Publikováno v: IEEE Access, Vol 11, Pp 139521-139533 (2023)

Keyword extraction is an effective way to quickly identify key elements in text. It can accelerate the identification of key factors that play a role in accidents when applied to incident report analysis. Our research presents an innovative process f

Externí odkaz: https://doaj.org/article/396385b5b1f44765b83aefc3ccc92cde

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Akademický článek

Generating Chest X-Ray Progression of Pneumonia Using Conditional Cycle Generative Adversarial Networks

Autor: Yeongbong Jin, Woojin Chang, Bonggyun Ko

Publikováno v: IEEE Access, Vol 11, Pp 88152-88160 (2023)

Pneumonia is an inflammation of the lungs caused by pathogens or autoimmune diseases, with about 450 million patients worldwide each year. Chest X–ray analysis is the most common radiographic method used to diagnose pneumonia, and advances in deep

Externí odkaz: https://doaj.org/article/81910b84f8864472a630ab42df3c5868

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Akademický článek

Restoring Latent Vectors From Generative Adversarial Networks Using Genetic Algorithms

Autor: Yeongbong Jin, Bonggyun Ko

Publikováno v: IEEE Access, Vol 8, Pp 199673-199681 (2020)

Rapid and massive advances in deep learning have made it possible to address with issues with computer vision. In recent years, one type of generative model has emerged, generative adversarial networks (GAN), that enables creating realistic and plaus

Externí odkaz: https://doaj.org/article/a9817fd87b864a67a24fa0a8fa4e2d57

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Akademický článek

Fund Price Analysis Using Convolutional Neural Networks for Multiple Variables

Autor: Heung-Chang Lee, Bonggyun Ko

Publikováno v: IEEE Access, Vol 7, Pp 183626-183633 (2019)

Investing in funds has the effect of indirectly employing asset management professionals with specialized knowledge and experience, which can result in a diversified investment through the use of a portfolio. In this study, we focus on learning the p

Externí odkaz: https://doaj.org/article/95877d74b8c54ceaa899705f00407601

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Akademický článek

Investment Universe Construction Based on the Theme Keyword Search

Autor: Do-Guk Kim, Bonggyun Ko

Publikováno v: IEEE Access, Vol 7, Pp 133707-133715 (2019)

Investment universe means a pool of selected assets likely to be profitable. In general, assets related to a common theme or concept are selected to form an investment universe. A well organized investment universe has a strong common theme and reduc

Externí odkaz: https://doaj.org/article/8bee9b2e520840f78af87d69b07b0658

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Akademický článek

k-Labelsets Method for Multi-Label ECG Signal Classification Based on SE-ResNet

Autor: Jihye Yoo, Yeongbong Jin, Bonggyun Ko, Min-Soo Kim

Publikováno v: Applied Sciences, Vol 11, Iss 16, p 7758 (2021)

Cardiovascular diseases are the leading cause of death globally. The ECG is the most commonly used tool for diagnosing cardiovascular diseases, and, recently, there are a number of attempts to use deep learning to analyze ECG. In this study, we propo

Externí odkaz: https://doaj.org/article/d54ecea8f92e4f2bab8fe2dcf1a8983a

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Akademický článek

Attention-Based Transfer Learning for Efficient Pneumonia Detection in Chest X-ray Images

Autor: So-Mi Cha, Seung-Seok Lee, Bonggyun Ko

Publikováno v: Applied Sciences, Vol 11, Iss 3, p 1242 (2021)

Pneumonia is a form of acute respiratory infection commonly caused by germs, viruses, and fungi, and can prove fatal at any age. Chest X-rays is the most common technique for diagnosing pneumonia. There have been several attempts to apply transfer le

Externí odkaz: https://doaj.org/article/5ecd0a5a041f412181ff236e7764ea2a

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