<?xml version="1.0" encoding="UTF-8"?>
<feed xmlns="http://www.w3.org/2005/Atom" xmlns:dc="http://purl.org/dc/elements/1.1/">
  <title>Repository Collection: null</title>
  <link rel="alternate" href="https://scholar.dgist.ac.kr/handle/20.500.11750/909" />
  <subtitle />
  <id>https://scholar.dgist.ac.kr/handle/20.500.11750/909</id>
  <updated>2026-04-04T12:39:15Z</updated>
  <dc:date>2026-04-04T12:39:15Z</dc:date>
  <entry>
    <title>Preprocessing Taste Data for Deep Neural Networks</title>
    <link rel="alternate" href="https://scholar.dgist.ac.kr/handle/20.500.11750/47987" />
    <author>
      <name>Lee, Hyunjong</name>
    </author>
    <author>
      <name>Jung, Han Hee</name>
    </author>
    <author>
      <name>Kwak, Jeongho</name>
    </author>
    <author>
      <name>Yea, Junwoo</name>
    </author>
    <author>
      <name>Choi, Jihwan P.</name>
    </author>
    <author>
      <name>Jang, Kyung-In</name>
    </author>
    <id>https://scholar.dgist.ac.kr/handle/20.500.11750/47987</id>
    <updated>2025-07-25T03:36:10Z</updated>
    <published>2023-10-11T15:00:00Z</published>
    <summary type="text">Title: Preprocessing Taste Data for Deep Neural Networks
Author(s): Lee, Hyunjong; Jung, Han Hee; Kwak, Jeongho; Yea, Junwoo; Choi, Jihwan P.; Jang, Kyung-In
Abstract: Analyzing wine using taste data is a promising field due to the explosive expansion of online commerce. However, because of the wide variety of wine types with different flavors and aromas, it is difficult for consumers to choose the wine that suits their taste, and also difficult for sellers to recommend appropriate wines to consumers. Therefore, it is necessary to numerically analyze and classify wine, and a deep learning algorithm which mimics the human brain is appropriate for analyzing the wine data [1]. In this paper, we introduce several studies of wine classification using deep learning architectures and propose preprocessing methods for applying the taste data of wine to deep learning networks. © 2023 IEEE.</summary>
    <dc:date>2023-10-11T15:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Imperceptible robotics for the human</title>
    <link rel="alternate" href="https://scholar.dgist.ac.kr/handle/20.500.11750/47229" />
    <author>
      <name>장경인</name>
    </author>
    <id>https://scholar.dgist.ac.kr/handle/20.500.11750/47229</id>
    <updated>2025-07-25T02:39:46Z</updated>
    <published>2017-05-11T15:00:00Z</published>
    <summary type="text">Title: Imperceptible robotics for the human
Author(s): 장경인</summary>
    <dc:date>2017-05-11T15:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Bio-inspired soft, rugged composites and their practical applications</title>
    <link rel="alternate" href="https://scholar.dgist.ac.kr/handle/20.500.11750/47204" />
    <author>
      <name>장경인</name>
    </author>
    <id>https://scholar.dgist.ac.kr/handle/20.500.11750/47204</id>
    <updated>2025-07-25T03:26:08Z</updated>
    <published>2017-06-15T15:00:00Z</published>
    <summary type="text">Title: Bio-inspired soft, rugged composites and their practical applications
Author(s): 장경인</summary>
    <dc:date>2017-06-15T15:00:00Z</dc:date>
  </entry>
</feed>

