논문 상세보기

CMOS 이미지 센서 기반 딥러닝 영상분석을 통한 현장형 생태독성평가 플랫폼 개발

Development of a field-deployable ecotoxicity assessment platform via deep-learning video analysis using a CMOS image sensor

  • 언어KOR
  • URLhttps://db.koreascholar.com/Article/Detail/448881
모든 회원에게 무료로 제공됩니다.
해양환경안전학회 (The Korean Society Of Marine Environment & Safety)
저자
  • 신상훈(고려대학교 세종캠퍼스 전자정보공학과) | Sanghoon Shin (Department of Electronics and Information Engineering, Korea University, Sejong 30019)
  • 임희진(고려대학교 세종캠퍼스 전자정보공학과) | Huijin Rim (Department of Electronics and Information Engineering, Korea University, Sejong 30019)
  • 한해희(고려대학교 세종캠퍼스 전자정보공학과) | Haehee Han (Department of Electronics and Information Engineering, Korea University, Sejong 30019)
  • 백종인(고려대학교 세종캠퍼스 전자정보공학과) | Jongin Paik (Department of Electronics and Information Engineering, Korea University, Sejong 30019)
  • 서성규(고려대학교 세종캠퍼스 전자정보공학과) | Sungkyu Seo (Department of Electronics and Information Engineering, Korea University, Sejong 30019) Corresponding author
  • 박재진(선박해양플랜트연구소 해사안전환경연구센터) | Jaejin Park (Maritime Safety and Environmental Research Center, Korea Research Institute of Ships & Ocean Engineering (KRISO))
  • 박재진(선박해양플랜트연구소 해사안전환경연구센터) | Jaejin Park (Maritime Safety and Environmental Research Center, Korea Research Institute of Ships & Ocean Engineering (KRISO))