Zobrazeno 1 - 10
of 384
pro vyhledávání: '"jaehwan Lee"'
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
Although plant disease recognition has witnessed a significant improvement with deep learning in recent years, a common observation is that current deep learning methods with decent performance tend to suffer in real-world applications. We argue that
Externí odkaz:
https://doaj.org/article/871d6d46a3914ddea4648d323cfbae2b
Publikováno v:
SoftwareX, Vol 28, Iss , Pp 101962- (2024)
We propose PyCAN, the first open-source Python implementation of N-dimensional Content-Addressable Network (CAN) with full feature sets to maintain peer-to-peer structure. Existing CAN implementations supports limited functions of Distributed Hash Ta
Externí odkaz:
https://doaj.org/article/bbb3449a44784017864b932b1c12ba0c
Autor:
Na Yeon Kim, Ho Yeon Lee, Yoon Young Choi, Sung Jun Mo, Soomin Jeon, Jang Ho Ha, Soo Dong Park, Jae-Jung Shim, Jaehwan Lee, Bong Geun Chung
Publikováno v:
Nano Convergence, Vol 11, Iss 1, Pp 1-13 (2024)
Abstract A new perspective suggests that a dynamic bidirectional communication system, often referred to as the microbiome-gut-brain axis, exists among the gut, its microbiome, and the central nervous system (CNS). This system may influence brain hea
Externí odkaz:
https://doaj.org/article/90c4944080024af08c83b53d6c9dcaf5
Autor:
Soomin Jeon, Hayera Lee, Jae-Ho Lee, Kippeum Lee, Dongki Hong, Soo-Dong Park, Jae-Jung Shim, Jung-Lyoul Lee, Jaehwan Lee, Jong-Cheon Joo
Publikováno v:
Life, Vol 14, Iss 9, p 1136 (2024)
Arthritis is mainly a geriatric disease that causes joint pain and lowers the quality of life. This clinical trial was performed to evaluate the efficacy of Lilium lancifolium Thunb. (HY-LL) in alleviating joint pain. Six candidate anti-inflammatory
Externí odkaz:
https://doaj.org/article/69b27fe5616c4184b109bb74128aa31d
Autor:
Sookwang Lee, Jaehwan Lee
Publikováno v:
Applied Sciences, Vol 14, Iss 12, p 5100 (2024)
In distributed deep learning, the improper use of the collective communication library can lead to a decline in deep learning performance due to increased communication time. Representative collective communication libraries such as MPI, GLOO, and NC
Externí odkaz:
https://doaj.org/article/0ae28116525a4f4f8f9e572579e497e3
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-10 (2023)
Abstract Transition metal dichalcogenides (TMDs) have emerged as a promising alternative to noble metals in the field of electrocatalysts for the hydrogen evolution reaction. However, previous attempts using machine learning to predict TMD properties
Externí odkaz:
https://doaj.org/article/90ab2cf2ea4345e8adb5cd0e499a8b9a
Publikováno v:
IEEE Access, Vol 11, Pp 61082-61090 (2023)
This article presents a high-performance, low-power analog convolutional neural network (CNN) circuit integrated into a CMOS image sensor (CIS) for face detection applications. The main block of the proposed in-column analog CNN circuits is an analog
Externí odkaz:
https://doaj.org/article/0bc66aa399de405ca6b3242c1cd923f5
Temperature-Dependent Electrical Characteristics of p-Channel Mode Feedback Field-Effect Transistors
Publikováno v:
IEEE Access, Vol 10, Pp 101458-101464 (2022)
In this study, the temperature-dependent electrical characteristics of p-channel mode feedback field-effect transistors (FBFETs) were examined at temperatures ranging from 250 to 425 K. Their steep subthreshold swings of less than 1 mV/dec were maint
Externí odkaz:
https://doaj.org/article/145649bf0d2841f5a6b575ae2580cf0d
Publikováno v:
PLoS ONE, Vol 18, Iss 11 (2023)
Externí odkaz:
https://doaj.org/article/3364af099822486f83a479e039dc9f25
Data-centric annotation analysis for plant disease detection: Strategy, consistency, and performance
Autor:
Jiuqing Dong, Jaehwan Lee, Alvaro Fuentes, Mingle Xu, Sook Yoon, Mun Haeng Lee, Dong Sun Park
Publikováno v:
Frontiers in Plant Science, Vol 13 (2022)
Object detection models have become the current tool of choice for plant disease detection in precision agriculture. Most existing research improved the performance by ameliorating networks and optimizing the loss function. However, because of the va
Externí odkaz:
https://doaj.org/article/919bff7eea2b426182efbec70db78534