Zobrazeno 1 - 10
of 219
pro vyhledávání: '"Xianchao, Zhang"'
Autor:
Ruicun Liu, Tuoyu Liu, Wuge Liu, Boyu Luo, Yuchen Li, Xinyue Fan, Xianchao Zhang, Wei Cui, Yue Teng
Publikováno v:
Synthetic and Systems Biotechnology, Vol 9, Iss 3, Pp 594-599 (2024)
Neuromorphic computing has the potential to achieve the requirements of the next-generation artificial intelligence (AI) systems, due to its advantages of adaptive learning and parallel computing. Meanwhile, biocomputing has seen ongoing development
Externí odkaz:
https://doaj.org/article/4703d9beaf2a4733b22be97ab30d3e17
Publikováno v:
Dianxin kexue, Vol 39, Pp 101-115 (2023)
Personalized recommendation is one of the most effective means to extract specific information.Aiming at the problem that lacking of users feature in traditional recommendation methods, a hybrid recommendation model of generalized matrix factorizatio
Externí odkaz:
https://doaj.org/article/c4c6968d84a94fd7933a148757172644
Publikováno v:
Tongxin xuebao, Vol 43, Pp 15-21 (2022)
To deal with the inter-user interference problem in wireless networks, an intelligent transmit power control scheme was proposed to manage the inter-user interference and guarantee multiple users' quality of service.Firstly, considering the complex d
Externí odkaz:
https://doaj.org/article/7329f0a5a1914531b102ca442ed06cd8
Publikováno v:
IEEE Access, Vol 10, Pp 91192-91202 (2022)
With the increasing popularity of social network platforms such as Twitter and Sina Weibo, a lot of malicious users, also known as social spammers, disseminate illegal information to normal users. Several approaches are proposed to detect spammers by
Externí odkaz:
https://doaj.org/article/a9f66165510f46a38911cccaa3152751
Publikováno v:
View, Vol 3, Iss 5, Pp n/a-n/a (2022)
Abstract Bioelectronics, which can perform monitoring and biological signal collection of strain, pressure, and temperature at the same time, have attracted more and more attentions. To meet the unique requirements of wearable characteristics, the bi
Externí odkaz:
https://doaj.org/article/12530f69918b4798a952368e7eecf599
Autor:
Xihua Cui, Fengli Huang, Xianchao Zhang, Pingan Song, Hua Zheng, Venkata Chevali, Hao Wang, Zhiguang Xu
Publikováno v:
iScience, Vol 25, Iss 4, Pp 104148- (2022)
Summary: Flexible pressure sensors capable of transducing pressure stimuli into electrical signals have drawn extensive attention owing to their potential applications for human-machine interaction and healthcare monitoring. To meet these application
Externí odkaz:
https://doaj.org/article/d386865deac542e3b6a484e42a1ffe92
Publikováno v:
IEEE Access, Vol 8, Pp 10262-10281 (2020)
Classification is the key and most widely studied paradigm in machine learning community. The selection of appropriate classification algorithm for a particular problem is a challenging task, formally known as algorithm selection problem (ASP) in lit
Externí odkaz:
https://doaj.org/article/e10bd3a9a5da4450986e0b6adaea33d8
Publikováno v:
IEEE Access, Vol 8, Pp 218433-218443 (2020)
Multimodal clustering algorithms partitions a multimodal dataset into disjoint clusters. Common feature extraction is a key part in multimodal clustering algorithms. Recently, deep neural networks shows high performance on latent feature extraction.
Externí odkaz:
https://doaj.org/article/2a339085b07f4976a361f1e0a54c724d
Publikováno v:
Sensors, Vol 23, Iss 3, p 1070 (2023)
Detecting irregular or arbitrary shape text in natural scene images is a challenging task that has recently attracted considerable attention from research communities. However, limited by the CNN receptive field, these methods cannot directly capture
Externí odkaz:
https://doaj.org/article/e49a207afa0446f5b50565a9262bd796
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. :1-14