Zobrazeno 1 - 10
of 84
pro vyhledávání: '"Zewen Yang"'
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 23, Iss , Pp 2326-2336 (2024)
Molecular encodings and their usage in machine learning models have demonstrated significant breakthroughs in biomedical applications, particularly in the classification of peptides and proteins. To this end, we propose a new encoding method: Interpr
Externí odkaz:
https://doaj.org/article/d7843ddd497b4c20a23aa5e69583b127
Publikováno v:
iScience, Vol 27, Iss 9, Pp 110603- (2024)
Summary: The growing AI field faces trust, transparency, fairness, and discrimination challenges. Despite the need for new regulations, there is a mismatch between regulatory science and AI, preventing a consistent framework. A five-layer nested mode
Externí odkaz:
https://doaj.org/article/32ad47368e834e139a55913fd4c08b16
Autor:
Wenbin Zhang, Zewen Yang
Publikováno v:
Frontiers in Endocrinology, Vol 15 (2024)
BackgroundThe triglyceride glucose (TyG) index, a metric computed from the levels of fasting triglyceride (TG) and fasting plasma glucose (FPG), has emerged as a simple surrogate measure for insulin resistance (IR) in recent years. In multiple critic
Externí odkaz:
https://doaj.org/article/ec14cd6222844c7f8e791f6bd8927827
Publikováno v:
ACS Omega, Vol 9, Iss 6, Pp 7061-7068 (2024)
Externí odkaz:
https://doaj.org/article/6c9c992aefca410b84b9f2175e8a3814
Autor:
Jun Ye, Zewen Yang
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 36, Iss 4, Pp 102019- (2024)
As more devices are integrated into the Internet of Things (IoT) ecosystem, accurate and efficient information transmission between resource-constrained equipment has become particularly important. For data encryption, compared to traditional encrypt
Externí odkaz:
https://doaj.org/article/43594f3c99bc4cd3ac20679ec1c3bb71
Publikováno v:
Cardiovascular Diabetology, Vol 22, Iss 1, Pp 1-16 (2023)
Abstract Background Insulin resistance (IR) can be effectively assessed using the dependable surrogate biomarker triglyceride-glucose (TyG) index. In various critical care contexts, like contrast-induced acute kidney injury (AKI), an elevated TyG ind
Externí odkaz:
https://doaj.org/article/0db96ae851874509b2a3cc1e65ab80a9
Autor:
Yue Wu, Xiaolin Sun, Ru Li, Cheng Wang, Depeng Song, Zewen Yang, Jing Gao, Yuan Zhang, Takeo Ohsaka, Futoshi Matsumoto, Fuhua Zhao, Jianfei Wu
Publikováno v:
Electrochemistry Communications, Vol 142, Iss , Pp 107377- (2022)
Sulfide solid electrolytes (SSE) are considered promising alternatives to conventional liquid electrolytes due to their high safety that is inaccessible to common liquid electrolytes and favorable ionic conductivity. Nonetheless, the poor interfacial
Externí odkaz:
https://doaj.org/article/44acc53104af47918c9f66e25a3ea745
Publikováno v:
IEEE Access, Vol 9, Pp 41294-41319 (2021)
Multilevel thresholding is an effective and indispensable technology for image segmentation that has attracted extensive attention in recent years. However, the multilevel thresholding method has some disadvantages, such as a large computational comp
Externí odkaz:
https://doaj.org/article/1d50e22c82334dbc972c210f79c9b351
Autor:
Lu Zhang, Huijun Wang, Jianyi Liu, Shuang Chen, He Yang, Zewen Yang, Zhenxi Zhang, Hong Zhao, Li Yuan, Lifang Tian, Bo Zhong, Xiaolong Liu
Publikováno v:
BME Frontiers, Vol 2022 (2022)
Objective and Impact Statement. Distinguishing malignant lymphocytes from normal ones is vital in pathological examination. We proposed an inverse light scattering (ILS) method for label-free suspended lymphocytes with complex fine structures to iden
Externí odkaz:
https://doaj.org/article/b652dd87fadf4f09b685fbb5c393180b
Publikováno v:
IEEE Access, Vol 7, Pp 166788-166795 (2019)
Considering the actual situation of time-varying interference in the underwater environment, a trajectory tracking control method for an underactuated Unmanned Underwater Vehicle (UUV) underwater exploration based on backstepping sliding mode with fu
Externí odkaz:
https://doaj.org/article/4446cd221c874e8586e2311c188aa183