Zobrazeno 1 - 10
of 129
pro vyhledávání: '"Wen Chuan Lee"'
Publikováno v:
The Scientific World Journal, Vol 2012 (2012)
Taiwan red-feathered country chickens (TRFCCs) are one of the main meat resources in Taiwan. Due to the lack of any systematic breeding programs to improve egg productivity, the egg production rate of this breed has gradually decreased. The predictio
Externí odkaz:
https://doaj.org/article/f26b185c4032452e91eca86f045dec18
Publikováno v:
Pediatrics and Neonatology, Vol 58, Iss 4, Pp 328-337 (2017)
Horse serum-induced immune complex coronary vasculitis in swine is the first experimental model to mimic most of the pictures of Kawasaki disease. Immune complex mechanism has been implicated as one of the possible mechanisms in the pathogenesis of v
Externí odkaz:
https://doaj.org/article/07b6b1e3ce994e20beef6073d1907134
Publikováno v:
Pediatrics and Neonatology, Vol 55, Iss 4, Pp 297-305 (2014)
Immune complex (IC) vasculitis can be experimentally induced in animal models by intravenous injection of horse serum (HS), and the findings of HS-induced IC vasculitis in swine were very similar to that of Kawasaki disease (KD). The IC mechanism may
Externí odkaz:
https://doaj.org/article/852b2903a96043d4901c1094604a15fb
Autor:
Zhuo Zhang, Wen-Chuan Lee, Wei You, Xiangyu Zhang, Guanhong Tao, Yousra Aafer, Yonghwi Kwon, Yapeng Ye
Publikováno v:
IEEE Symposium on Security and Privacy
Recovering variables and data structure information from stripped binary is a prominent challenge in binary program analysis. While various state-of-the-art techniques are effective in specific settings, such effectiveness may not generalize. This is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9ec4b81b939f6bd7bb238a2f5f9d456c
https://doi.org/10.1109/sp40001.2021.00051
https://doi.org/10.1109/sp40001.2021.00051
Publikováno v:
Journal of Applied Mathematics, Vol 2013 (2013)
Quality management is very important for many manufacturing industries. Process capability analysis has been widely applied in the field of quality control to monitor the performance of industrial processes. Hence, the lifetime performance index CL i
Externí odkaz:
https://doaj.org/article/f90b1f223b7746c08e95b2d7ba948815
Publikováno v:
The Scientific World Journal, Vol 2013 (2013)
We propose the weighted moments estimators (WMEs) of the location and scale parameters for the extreme value distribution based on the multiply type II censored sample. Simulated mean squared errors (MSEs) of best linear unbiased estimator (BLUE) and
Externí odkaz:
https://doaj.org/article/0633029bfe134cf1af7eced9c64ba992
Publikováno v:
KDD
EXplainable AI (XAI) methods have been proposed to interpret how a deep neural network predicts inputs through model saliency explanations that highlight the input parts deemed important to arrive at a decision for a specific target. However, it rema
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f8340bee36f47998af13269300bfe90
http://arxiv.org/abs/2009.10639
http://arxiv.org/abs/2009.10639
Publikováno v:
Journal of Applied Mathematics, Vol 2012 (2012)
Process capability analysis has been widely applied in the field of quality control to monitor the performance of industrial processes. In practice, lifetime performance index CL is a popular means to assess the performance and potential of their pro
Externí odkaz:
https://doaj.org/article/e32826a8ab7d4c3baf8df2af16b1cac0
Publikováno v:
CCS
This paper presents a technique to scan neural network based AI models to determine if they are trojaned. Pre-trained AI models may contain back-doors that are injected through training or by transforming inner neuron weights. These trojaned models o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e5fa21237dd91f85e6ebc7519622968
https://doi.org/10.1145/3319535.3363216
https://doi.org/10.1145/3319535.3363216
Publikováno v:
2019 IEEE/ACM International Symposium on Code Generation and Optimization (CGO).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f3f43ee24e1c36c72bdbf5ab01d2570
https://doi.org/10.1109/cgo.2019.8661177
https://doi.org/10.1109/cgo.2019.8661177