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A Configurable and Fully Synthesizable RTL-Based Convolutional Neural Network for Biosensor Applications.
Kumar, Pervesh; Yingge, Huo; Ali, Imran; Pu, Young-Gun; Hwang, Keum-Cheol; Yang, Youngoo; Jung, Yeon-Jae; Huh, Hyung-Ki; Kim, Seok-Kee; Yoo, Joon-Mo; Lee, Kang-Yoon.
Afiliação
  • Kumar P; Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16416, Korea.
  • Yingge H; Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16416, Korea.
  • Ali I; Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16416, Korea.
  • Pu YG; SKAIChips, Sungkyunkwan University, Suwon 16419, Korea.
  • Hwang KC; Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16416, Korea.
  • Yang Y; SKAIChips, Sungkyunkwan University, Suwon 16419, Korea.
  • Jung YJ; Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16416, Korea.
  • Huh HK; Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16416, Korea.
  • Kim SK; Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16416, Korea.
  • Yoo JM; SKAIChips, Sungkyunkwan University, Suwon 16419, Korea.
  • Lee KY; Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16416, Korea.
Sensors (Basel) ; 22(7)2022 Mar 23.
Article em En | MEDLINE | ID: mdl-35408074
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Algoritmos / Técnicas Biossensoriais Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Algoritmos / Técnicas Biossensoriais Idioma: En Ano de publicação: 2022 Tipo de documento: Article