يعرض 1 - 20 نتائج من 133 نتيجة بحث عن '"Chen, Chun-Kuei"', وقت الاستعلام: 0.53s تنقيح النتائج
  1. 1
    Academic Journal

    المساهمون: Singapore’s National Research Foundation, A*Star Advance Manufacturing and Engineering, E6Nanofab at the National University of Singapore

    المصدر: IEEE Transactions on Neural Networks and Learning Systems ; volume 36, issue 1, page 1015-1028 ; ISSN 2162-237X 2162-2388

  2. 2
    Academic Journal
  3. 3
    Academic Journal

    المؤلفون: Tu, Yun-Fang, Lai, Chiu-Lin (ORCID 0000-0003-1410-3732), Hwang, Gwo-Jen, Chen, Chun-Kuei

    المصدر: Educational Technology Research and Development. Oct 2021 69(5):2547-2569.

    Peer Reviewed: Y

    Page Count: 23

    مصطلحات جغرافية: Taiwan

  4. 4
    Academic Journal

    المساهمون: Agency for Science, Technology and Research (A∗STAR), Singapore, under its Advanced Manufacturing and Engineering (AME) Programmatic Funds, National Research Foundation (NRF)’s Medium Sized Centre: Singapore Hybrid-Integrated Next-Generation μ-Electronics (SHINE) Centre Funding Program

    المصدر: IEEE Transactions on Electron Devices ; volume 70, issue 4, page 2098-2105 ; ISSN 0018-9383 1557-9646

  5. 5
    Dissertation/ Thesis
  6. 6
    Conference

    المساهمون: DEAN'S OFFICE (ENGINEERING), ELECTRICAL AND COMPUTER ENGINEERING

    Relation: Umesh Chand, Chen Chun-Kuei, Manohar Lal, Sonu Hooda, Hasita Veluri, Zihang Fang, Shih-Hao Tsai, Aaron Voon-Yew Thean (2022-03-06). Extremely- Scaled Channel Thickness ZnO FET with High Mobility 86 cm2/V-s, Low SS of 83mV/dec and Low Thermal Budget Process (; https://scholarbank.nus.edu.sg/handle/10635/232257

  7. 7
    Conference

    المساهمون: DEAN'S OFFICE (ENGINEERING), ELECTRICAL AND COMPUTER ENGINEERING

    Relation: Umesh Chand, Mohamed M Sabry Aly, Manohar Lal, Chen Chun-Kuei, Sonu Hooda, Shih-Hao Tsai, Zihang Fang, Hasita Veluri, Aaron Voon-Yew Thean (2022-06-12). Sub-10nm Ultra-thin ZnO Channel FET with Record-High 561 µA/µm ION at VDS 1V, High µ-84 cm2/V-s and1T-1RRAM Memory Cell Demonstration Memory Implications for Energy-Efficient Deep-Learning Computing. 2022 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits) : 326-327. ScholarBank@NUS Repository. https://doi.org/10.1109/VLSITechnologyandCir46769.2022.9830250; https://scholarbank.nus.edu.sg/handle/10635/232258

  8. 8
    Academic Journal
  9. 9
    Academic Journal

    المساهمون: Agency for Science, Technology and Research, National Research Foundation Singapore, National University of Singapore

    المصدر: ACS Applied Electronic Materials ; volume 4, issue 4, page 1642-1650 ; ISSN 2637-6113 2637-6113

  10. 10
    Academic Journal
  11. 11
    Academic Journal
  12. 12
    Academic Journal
  13. 13
    Conference
  14. 14
    Conference
  15. 15
    Conference
  16. 16
    Academic Journal
  17. 17
    Academic Journal
  18. 18
    Academic Journal
  19. 19
    Academic Journal
  20. 20