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Akademický článek

Bionic UAV architecture for fast swarm fusion

Autor: Ziming ZENG, Chao DONG, Xiaojun ZHU, Ziye JIA

Publikováno v: Dianxin kexue, Vol 38, Pp 17-27 (2022)

UAV swarm operation is an important part of the future battlefield.UAVs in the cluster cooperate to complement each other and coordinate tasks to improve the overall performance of the system.In animal groups such as ants, wolves, pigeons, fish, etc.

Externí odkaz: https://doaj.org/article/a4350a878abd4d87bcc434cf64a2fdb1

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Research on the generalization of social bot detection from two dimensions: feature extraction and detection approaches

Autor: Ziming Zeng, Tingting Li, Jingjing Sun, Shouqiang Sun, Yu Zhang

Publikováno v: Data Technologies and Applications. 57:177-198

PurposeThe proliferation of bots in social networks has profoundly affected the interactions of legitimate users. Detecting and rejecting these unwelcome bots has become part of the collective Internet agenda. Unfortunately, as bot creators use more

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::be64fb83dd08cb77a8492120c183fbf9
https://doi.org/10.1108/dta-02-2022-0084

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Using data mining technology to analyse the spatiotemporal public opinion of COVID-19 vaccine on social media

Autor: Tingting Li, Ziming Zeng, Jingjing Sun, Shouqiang Sun

Publikováno v: The Electronic Library. 40:435-452

Purpose The deployment of vaccines is the primary task in curbing the COVID-19 pandemic. The purpose of this paper is to understand the public’s opinions on vaccines and then design effective interventions to promote vaccination coverage. Design/me

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::fdf5c0b0e37b8dd6723c1a27bb8cf263
https://doi.org/10.1108/el-03-2022-0062

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Constructing a mobile visual search framework for Dunhuang murals based on fine-tuned CNN and ontology semantic distance

Autor: Ziming Zeng, Shouqiang Sun, Jingjing Sun, Jie Yin, Yueyan Shen

Publikováno v: The Electronic Library. 40:121-139

Purpose Dunhuang murals are rich in cultural and artistic value. The purpose of this paper is to construct a novel mobile visual search (MVS) framework for Dunhuang murals, enabling users to efficiently search for similar, relevant and diversified im

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2b7b0ebe660bfec66c0a7bb27c3c831f
https://doi.org/10.1108/el-09-2021-0173

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Mobile visual search model for Dunhuang murals in the smart library

Autor: Ziming Zeng, Shouqiang Sun, Tingting Li, Jie Yin, Yueyan Shen

Publikováno v: Library Hi Tech. 40:1796-1818

PurposeThe purpose of this paper is to build a mobile visual search service system for the protection of Dunhuang cultural heritage in the smart library. A novel mobile visual search model for Dunhuang murals is proposed to help users acquire rich kn

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::53b1a1dcba8aff8b80809617fae02aa6
https://doi.org/10.1108/lht-03-2021-0079

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Methodologies, technologies, and strategies for acoustic streaming-based acoustofluidics

Autor: Mercedes Stringer, Ziming Zeng, Xiaoyan Zhang, Yanyan Chai, Wen Li, Jikai Zhang, Huiling Ong, Dongfang Liang, Jing Dong, Yiming Li, Yongqing Fu, Xin Yang

Publikováno v: Applied Physics Reviews. 10

Acoustofluidics offers contact-free manipulation of particles and fluids, enabling their uses in various life sciences, such as for biological and medical applications. Recently, there have been extensive studies on acoustic streaming-based acoustofl

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::eff2a53faff4b1869fb2c9dbc7770422
https://doi.org/10.1063/5.0134646

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Study on Spatio-Temporal Topic-Sentiment Synergy Model and Visualization of Online Public Opinion on Public Health Emergency

Autor: Yuhan Lu, Ziming Zeng

Publikováno v: Lecture Notes in Business Information Processing ISBN: 9783031322983

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f001bfc581f4b338805b0d6a36cb3be3
https://doi.org/10.1007/978-3-031-32299-0_29

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A novel semi-supervised self-training method based on resampling for Twitter fake account identification

Autor: Shouqiang Sun, Ziming Zeng, Jie Yin, Jingjing Sun, Tingting Li

Publikováno v: Data Technologies and Applications. 56:409-428

PurposeTwitter fake accounts refer to bot accounts created by third-party organizations to influence public opinion, commercial propaganda or impersonate others. The effective identification of bot accounts is conducive to accurately judge the dissem

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d659fb2c98470ce9681a9d157dcb9c99
https://doi.org/10.1108/dta-07-2021-0196

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