Zobrazeno 1 - 10
of 282
pro vyhledávání: '"Weishan ZHANG"'
Publikováno v:
npj Digital Medicine, Vol 7, Iss 1, Pp 1-14 (2024)
Abstract Gait impairments are among the most common and disabling symptoms of Parkinson’s disease and worsen as the disease progresses. Early detection and diagnosis of subtype-specific gait deficits, as well as progression monitoring, can help to
Externí odkaz:
https://doaj.org/article/ac735eb935e542bfbc7a15425568dcee
Autor:
Shaohua Cao, Hanqing Zhang, Tian Wen, Hongwei Zhao, Quancheng Zheng, Weishan Zhang, Danyang Zheng
Publikováno v:
High-Confidence Computing, Vol 4, Iss 2, Pp 100179- (2024)
Since the data samples on client devices are usually non-independent and non-identically distributed (non-IID), this will challenge the convergence of federated learning (FL) and reduce communication efficiency. This paper proposes FedQMIX, a node se
Externí odkaz:
https://doaj.org/article/79eac48018b74539bb029fc2435beb88
Publikováno v:
Digital Communications and Networks, Vol 9, Iss 5, Pp 1180-1189 (2023)
The proliferation of Internet of Things (IoT) rapidly increases the possiblities of Simple Service Discovery Protocol (SSDP) reflection attacks. Most DDoS attack defence strategies deploy only to a certain type of devices in the attack chain,and need
Externí odkaz:
https://doaj.org/article/12ae6e6ab27548fe9e57661a211558e5
Publikováno v:
Digital Communications and Networks, Vol 9, Iss 5, Pp 1221-1229 (2023)
Accurate forecasting for photovoltaic power generation is one of the key enablers for the integration of solar photovoltaic systems into power grids. Existing deep-learning-based methods can perform well if there are sufficient training data and enou
Externí odkaz:
https://doaj.org/article/854bb10b13014690ae3b7d21de44d61a
Autor:
Chao Gu, Shentao Yao, Yifan Miao, Ye Tian, Yuru Liu, Zhicheng Bao, Tao Wang, Baoyu Zhang, Tao Chen, Weishan Zhang
Publikováno v:
Machines, Vol 12, Iss 7, p 471 (2024)
Air conditioning contributes a high percentage of energy consumption over the world. The efficient prediction of energy consumption can help to reduce energy consumption. Traditionally, multidimensional air conditioning energy consumption data could
Externí odkaz:
https://doaj.org/article/d15bb0fcc25944a296b4114c85025eb3
Publikováno v:
Journal of Fungi, Vol 10, Iss 7, p 475 (2024)
Pestalotioid fungi are associated with a wide variety of plants around the world as pathogens, endophytes, and saprobes. In this study, diseased leaves and branches of plants were collected from Guizhou and Sichuan in China. Here, the fungal isolates
Externí odkaz:
https://doaj.org/article/e7fcd023a4c748f4971be9e44994c391
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 11 (2024)
BackgroundPrimary cardiac lymphoma is an extremely rare malignant lymphoma, with clinical manifestations related to its location. We reported the diagnosis and treatment of primary cardiac lymphoma in a patient presented with atrioventricular block.C
Externí odkaz:
https://doaj.org/article/c4d02ee6283548bf81b1c7f85758a6d5
Publikováno v:
Microbiology Spectrum, Vol 11, Iss 6 (2023)
ABSTRACT Global warming is increasing human exposure to pathogens and has already had an impact on human health. Vibrio parahaemolyticus, a major pathogen causing foodborne illness, accumulates in numerous aquatic organisms and can be affected by env
Externí odkaz:
https://doaj.org/article/0f40ef59a2144875add2337230a21f8a
Publikováno v:
Microbiology Spectrum, Vol 11, Iss 4 (2023)
ABSTRACT Mycobacterium tuberculosis (Mtb) is highly resistant to host oxidative killing. We hypothesized that the evolutionary adaptation of M. smegmatis to hydrogen peroxide (H2O2) would endow the nonpathogenic Mycobacterium persistent in a host. In
Externí odkaz:
https://doaj.org/article/b1a8ee56081d4060bd4f2d7942f32764
Autor:
Leiming Chen, Weishan Zhang, Cihao Dong, Dehai Zhao, Xingjie Zeng, Sibo Qiao, Yichang Zhu, Chee Wei Tan
Publikováno v:
Entropy, Vol 26, Iss 1, p 96 (2024)
Federated learning allows multiple parties to train models while jointly protecting user privacy. However, traditional federated learning requires each client to have the same model structure to fuse the global model. In real-world scenarios, each cl
Externí odkaz:
https://doaj.org/article/61ce043d94134fb39e136159ac1d2f27