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Forecasting Obsolescence of Components by Using a Clustering-Based Hybrid Machine-Learning Algorithm.
Moon, Kyoung-Sook; Lee, Hee Won; Kim, Hee Jean; Kim, Hongjoong; Kang, Jeehoon; Paik, Won Chul.
Afiliación
  • Moon KS; Department of Mathematical Finance, Gachon University, 1342 Seongnamdaero, Sujeong-gu, Seongnam-si 13120, Gyeonggi-do, Korea.
  • Lee HW; Department of Mathematical Finance, Gachon University, 1342 Seongnamdaero, Sujeong-gu, Seongnam-si 13120, Gyeonggi-do, Korea.
  • Kim HJ; Leo Innovision Ltd., #1906, IT Mirae Tower 33, Digital-ro 9-gil Geumcheon-gu, Seoul 08511, Korea.
  • Kim H; Department of Mathematics, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul 02841, Korea.
  • Kang J; Leo Innovision Ltd., #1906, IT Mirae Tower 33, Digital-ro 9-gil Geumcheon-gu, Seoul 08511, Korea.
  • Paik WC; Leo Innovision Ltd., #1906, IT Mirae Tower 33, Digital-ro 9-gil Geumcheon-gu, Seoul 08511, Korea.
Sensors (Basel) ; 22(9)2022 Apr 23.
Article en En | MEDLINE | ID: mdl-35590934
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Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Sensors (Basel) Año: 2022 Tipo del documento: Article
Texto completo
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PubMed Links
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Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Sensors (Basel) Año: 2022 Tipo del documento: Article