Zobrazeno 1 - 10
of 548
pro vyhledávání: '"Deyu, Zhang"'
Publikováno v:
IET Control Theory & Applications, Vol 18, Iss 17, Pp 2347-2357 (2024)
Abstract The main objective of this paper is to develop a distributed fault detection (FD) approach for large‐scale interconnected systems using sensor networks. Specifically, the one‐step prediction based on the measured data is implemented in a
Externí odkaz:
https://doaj.org/article/388caa1e2e624364ac26ed7a4190da13
Publikováno v:
Complex & Intelligent Systems, Vol 11, Iss 1, Pp 1-14 (2024)
Abstract Federated learning is a distributed machine learning paradigm that trains a shared model using data from various clients, it faces a core challenge in data heterogeneity arising from diverse client settings and environments. Existing methods
Externí odkaz:
https://doaj.org/article/c0a2d98072c74564b090f10c162dd700
Autor:
Deyu Zhang, Fang Cui, Kailian Zheng, Wanshun Li, Yue Liu, Chang Wu, Lisi Peng, Zhenghui Yang, Qianqian Chen, Chuanchao Xia, Shiyu Li, Zhendong Jin, Xiaojiang Xu, Gang Jin, Zhaoshen Li, Haojie Huang, Xiangxiang Pan
Publikováno v:
Chinese Medical Journal, Vol 137, Iss 20, Pp 2415-2428 (2024)
Abstract. Background:. Pancreatic ductal adenocarcinoma (PDAC) is one of the main types of malignant tumor of the digestive system, and patient prognosis is affected by difficulties in early diagnosis, poor treatment response, and a high postoperativ
Externí odkaz:
https://doaj.org/article/f4a420f9511b43199d47547ce7ed90d0
Publikováno v:
Xin yixue, Vol 55, Iss 7, Pp 571-577 (2024)
Objective To understand the distribution of allergens in different altitude areas of Yunnan Province and evaluate the impact of meteorological factors on the sensitization rate of allergens， providing a theoretical basis for formulating reasonable
Externí odkaz:
https://doaj.org/article/793d78827ab340f8a242725cf239d543
Publikováno v:
Annals of Medicine, Vol 56, Iss 1 (2024)
Objective This prospective observational study aims to demonstrate the clinical efficacy of dienogest in treating endometriomas with a maximum diameter of ≥4 cm.Methods Patients (n = 81) with endometriomas (diameter of ≥4 cm) were enrolled and ad
Externí odkaz:
https://doaj.org/article/a33816e8ef824517a00723944438d250
Publikováno v:
Frontiers in Gastroenterology, Vol 3 (2024)
Externí odkaz:
https://doaj.org/article/cdae1c6c657c44cdae91aa3af962c376
Publikováno v:
Frontiers in Gastroenterology (Frontiers Media S.A.). 2024, p1-3. 3p.
Adaptive device sampling and deadline determination for cloud-based heterogeneous federated learning
Publikováno v:
Journal of Cloud Computing: Advances, Systems and Applications, Vol 12, Iss 1, Pp 1-15 (2023)
Abstract As a new approach to machine learning, Federated learning enables distributned traiing on edge devices and aggregates local models into a global model. The edge devices that participate in federated learning are highly heterogeneous in terms
Externí odkaz:
https://doaj.org/article/2f9342991b8540b2918bc86b7420e011
Publikováno v:
Jisuanji kexue yu tansuo, Vol 17, Iss 11, Pp 2743-2754 (2023)
Decision implication is a tool of decision knowledge representation and reasoning in formal concept analysis. This paper proposes a relationship completion method for knowledge graph based on decision implication. Firstly, this paper constructs the c
Externí odkaz:
https://doaj.org/article/8d2aa200040343e19ffbefc72a43120a
Autor:
Xiang Guo, Lei Luo, Yuxiang Long, Pingying Teng, Yuehong Wei, Tian Xie, Li Li, Qingqing Yin, Ziyao Li, Yuji Wang, Jiejun He, Xiatian Ji, Huasheng Zhou, Xiaofan Zhang, Shigang Chen, Yezhen Zhou, Kaihui Xu, Guancong Liang, Haocheng Kuang, Yuting Gao, Xiaohua Liu, Luting Luo, Lin Ding, Yiji Li, Zhuanzhuan Liu, Tengfei Zhou, Zetian Lai, Xinghua Su, Yuyan Guo, Chenying Li, Lihua Xie, Minqing Li, Xinglong Wu, Jianhao Huang, Weicong Su, Yicheng Pan, Wei Hu, Dongrui Zhou, Chunv Li, Juan Gui, Jiazhi Ma, Xiaoli Feng, Minyi Zhu, Shangbin Zhong, Fan Chen, Huanchao Zeng, Yingxian Wu, Chen Wang, Shukai Li, Qi Wang, Xueyi Wang, Yekai Zhou, Jianxun Ling, Yingjie Liu, Shang Wu, Zhiwei Li, Minghui Zhong, Wenxia Wei, Lixian Xie, Xianli Xu, Hehai Huang, Guilan Yang, Yan Liu, Siting Liang, Yingxia Wu, Deyu Zhang, Changqing Xu, Jie Wang, Chunmei Wang, Rangke Wu, Zhicong Yang, Xiao-Guang Chen, Xiaohong Zhou
Publikováno v:
Parasites & Vectors, Vol 16, Iss 1, Pp 1-16 (2023)
Abstract Background Aedes albopictus is an invasive vector of serious Aedes-borne diseases of global concern. Habitat management remains a critical factor for establishing a cost-effective systematic strategy for sustainable vector control. However,
Externí odkaz:
https://doaj.org/article/48c1d406a20a4012bc18416c8764b011