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Results 1461-1470 of 1957 (Search time: 0.007 seconds).

  • Cho, Youngjae
  • Kim, Kihyuk
  • Kim, Duhee
  • Bissannagari, Murali
  • Lee, Jungha
  • Hong, Woongki
  • Kwon, Hyuk-Jun
  • Jang, Jae Eun
  • Kang, Hongki
  • 2024-05
  • ACS Applied Electronic Materials, v.6, no.5, pp.3147 - 3157
  • American Chemical Society
  • View : 236
  • Download : 0
  • 2025-04-25
  • International Conference on Learning Representations, pp.69747 - 69775
  • International Conference on Learning Representations (ICLR)
  • View : 292
  • Download : 0
  • 2025-09
  • Computers in Biology and Medicine, v.195
  • Elsevier
  • View : 389
  • Download : 0
  • Choi, Jae-Ho
  • Hor, Soheil
  • Yang, Shubo
  • Arbabian, Amin
  • 2025-06-15
  • IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.27750 - 27759
  • IEEE Computer Society, Computer Vision Foundation
  • View : 57
  • Download : 0
  • Jung, Sangwoo
  • Lee, Hojin
  • Lee, Yejin
  • Park, Jiyong
  • Park, Dahoon
  • Shin, Hyunseob
  • Yoon, Jong-Hyeok
  • Kung, Jaeha
  • 2025-08-08
  • IEEE International Symposium on Low-Power Electronics and Design, pp.1 - 7
  • IEEE
  • View : 72
  • Download : 0
  • 2025-08-08
  • IEEE International Symposium on Low-Power Electronics and Design, pp.1 - 6
  • IEEE
  • View : 59
  • Download : 0
  • Jeong, Jaewoo
  • Lee, Seohee
  • Park, Daehee
  • Lee, Giwon
  • Yoon, Kuk-Jin
  • 2025-06-16
  • IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.24222 - 24233
  • IEEE Computer Society
  • View : 47
  • Download : 0
  • 노석환
  • Kim, Sungju
  • Kim, Seohyun
  • Kim, Daehoon
  • Kung, Jaeha
  • Kim, Yeseong
  • 2025-08-07
  • IEEE International Symposium on Low-Power Electronics and Design, pp.1 - 7
  • IEEE
  • View : 67
  • Download : 0
  • Frensen Salim
  • 2024
  • Frensen Salim. (2024). Identifying User Experience (UX) Elements and Emotional Experiences on Smartwatch Devices. doi: 10.22677/THESIS.200000726145
  • DGIST
  • View : 303
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  • Dongsun Kim
  • 2024
  • Dongsun Kim. (2024). Deep Reinforcement Learning for Data Freshness in Blockchain-enabled Wireless Sensor Networks. doi: 10.22677/THESIS.200000802743
  • DGIST
  • View : 245
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