Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Seungjoon Eom"'
Autor:
Seungjoon Eom, Hyeok Yun, Hyundong Jang, Kyeongrae Cho, Seunghwan Lee, Jinsu Jeong, Rock‐Hyun Baek
Publikováno v:
Advanced Intelligent Systems, Vol 6, Iss 4, Pp n/a-n/a (2024)
Neural compact models are proposed to simplify device‐modeling processes without requiring domain expertise. However, the existing models have certain limitations. Specifically, some models are not parameterized, while others compromise accuracy an
Externí odkaz:
https://doaj.org/article/672e3f12053448a7829c5f701e2b5340
Autor:
Kyeongrae Cho, Jeong-Sik Lee, Chanyang Park, Hyeok Yun, Hyundong Jang, Seungjoon Eom, Min Sang Park, Hyun-Chul Choi, Rock-Hyun Baek
Publikováno v:
Advanced Intelligent Systems, Vol 5, Iss 12, Pp n/a-n/a (2023)
Herein, the impact of cross‐temperature on 3D NAND flash memory is modeled by considering adjacent cells using machine learning. The cells comprising NAND flash memory exhibit diverse states and connectivity patterns. To effectively capture this co
Externí odkaz:
https://doaj.org/article/a94ec992d5914f90a1f025fa622e6dd5
Autor:
Hyeok Yun, Chang-Hyeon An, Hyundong Jang, Kyeongrae Cho, Jeong-Sik Lee, Seungjoon Eom, Choong-Ki Kim, Min-Soo Yoo, Hyun-Chul Choi, Rock-Hyun Baek
Publikováno v:
Advanced Intelligent Systems, Vol 5, Iss 9, Pp n/a-n/a (2023)
Herein, novel neural network (NN) methods that improve prediction accuracy and reduce output variance of the optimized input in the gradient method for cross‐sectional data are proposed, and the variability evaluation approach of optimized inputs i
Externí odkaz:
https://doaj.org/article/ab5cb2a7ed1c40f0b5d17fbb27fbd5d2