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Keystroke Dynamics based Hybrid Nanogenerators for Biometric Authentication and Identification using Artificial Intelligence.
Maharjan, Pukar; Shrestha, Kumar; Bhatta, Trilochan; Cho, Hyunok; Park, Chani; Salauddin, Md; Rahman, M Toyabur; Rana, Sm Sohel; Lee, Sanghyun; Park, Jae Y.
Afiliação
  • Maharjan P; Advanced Sensor and Energy Research Laboratory, Department of Electronic Engineering, Kwangwoon University, Seoul, 01897, Republic of Korea.
  • Shrestha K; Advanced Sensor and Energy Research Laboratory, Department of Electronic Engineering, Kwangwoon University, Seoul, 01897, Republic of Korea.
  • Bhatta T; Advanced Sensor and Energy Research Laboratory, Department of Electronic Engineering, Kwangwoon University, Seoul, 01897, Republic of Korea.
  • Cho H; Advanced Sensor and Energy Research Laboratory, Department of Electronic Engineering, Kwangwoon University, Seoul, 01897, Republic of Korea.
  • Park C; Advanced Sensor and Energy Research Laboratory, Department of Electronic Engineering, Kwangwoon University, Seoul, 01897, Republic of Korea.
  • Salauddin M; Advanced Sensor and Energy Research Laboratory, Department of Electronic Engineering, Kwangwoon University, Seoul, 01897, Republic of Korea.
  • Rahman MT; Advanced Sensor and Energy Research Laboratory, Department of Electronic Engineering, Kwangwoon University, Seoul, 01897, Republic of Korea.
  • Rana SS; Advanced Sensor and Energy Research Laboratory, Department of Electronic Engineering, Kwangwoon University, Seoul, 01897, Republic of Korea.
  • Lee S; Advanced Sensor and Energy Research Laboratory, Department of Electronic Engineering, Kwangwoon University, Seoul, 01897, Republic of Korea.
  • Park JY; Advanced Sensor and Energy Research Laboratory, Department of Electronic Engineering, Kwangwoon University, Seoul, 01897, Republic of Korea.
Adv Sci (Weinh) ; 8(15): e2100711, 2021 08.
Article em En | MEDLINE | ID: mdl-34075718
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: Adv Sci (Weinh) Ano de publicação: 2021 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: Adv Sci (Weinh) Ano de publicação: 2021 Tipo de documento: Article