Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Runan Zhou"'
Publikováno v:
Frontiers in Political Science, Vol 4 (2022)
The public's social mentality has an essential influence on the attitude toward participating in the Third Distribution and the implementation of the policy. From the perspective of subjective social class and prosocial behavior, based on social cogn
Externí odkaz:
https://doaj.org/article/d32d840487044e8aadf314a2a4d11495
Autor:
Runan Zhou
Publikováno v:
The China Nonprofit Review. 12:270-276
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ba72fdf1536dcf93ced1fd17f67c820
https://doi.org/10.1163/18765149-12341381
https://doi.org/10.1163/18765149-12341381
Publikováno v:
Information Sciences. 509:420-436
Many problems in real world have not only one objective to be met. In the majority of cases, a set of trade-off solutions which spread evenly along the entire Pareto optimal front are generated by multi-objective evolutionary algorithms (MOEAs). Taki
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f80cc12b4e5152b9fbaa00262ff3147
https://doi.org/10.1016/j.ins.2018.09.069
https://doi.org/10.1016/j.ins.2018.09.069
Publikováno v:
Journal of Physics: Conference Series. 2218:012062
Aiming at the low efficiency of wind turbines in service, this paper proposes a statistical method of low efficiency turbines based on wind power curve generated from operating data. According to the data distribution characteristics of the wind-powe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7e1e381244af135f48451db6ea4afb82
https://doi.org/10.1088/1742-6596/2218/1/012062
https://doi.org/10.1088/1742-6596/2218/1/012062
Publikováno v:
Journal of Physics: Conference Series. 2179:012041
This paper adopts deep learning self-encoding algorithm, using JAVA, C++ and python language mixed programming computing technology to realize wind turbine parameter monitoring and early warning and software system design and development. This paper
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f5e390c0add4b7ee6f3ea85ea4d12027
https://doi.org/10.1088/1742-6596/2179/1/012041
https://doi.org/10.1088/1742-6596/2179/1/012041
Publikováno v:
Biometric Recognition ISBN: 9783030314552
CCBR
CCBR
It is quite challenging to localize noisy iris. In order to improve the stability and accuracy of noisy iris localization, this paper presents a statistical denoising integral difference operator (SDItg-Diff). Firstly, we use the Itg-Diff operator to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca096e7007bf870aec7211e79a0684eb
https://doi.org/10.1007/978-3-030-31456-9_40
https://doi.org/10.1007/978-3-030-31456-9_40
Publikováno v:
Knowledge-Based Systems. 194:105518
A region division based decomposition approach for evolutionary many-objective optimization (denoted as RD-EMO) is proposed in this paper. In the proposed RD-EMO, a set of reference points are generated and the objective space is divided into a set o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c960ad0c7053a822f77bbea00524df6
https://doi.org/10.1016/j.knosys.2020.105518
https://doi.org/10.1016/j.knosys.2020.105518
Publikováno v:
PRICAI 2016: Trends in Artificial Intelligence ISBN: 9783319429106
PRICAI
PRICAI
Traditional hot topic detection algorithms cannot show its optimal performance on microblogs for their inherent flaws in constructing short-text representation model, implementing the core algorithm in large corpus with short time and evaluating the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::48a10db6a4fe616ca1dea22c54536520
https://doi.org/10.1007/978-3-319-42911-3_23
https://doi.org/10.1007/978-3-319-42911-3_23
Publikováno v:
Intelligent Computing Theories and Application ISBN: 9783319422909
ICIC (1)
ICIC (1)
Classification of short text is challenging due to its severe sparseness and high dimension, which are typical characteristics of short text. In this paper, we propose a novel approach to classify short texts based on both lexical and semantic featur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ff341f9adbbbe340e7d316bf298456d7
https://doi.org/10.1007/978-3-319-42291-6_16
https://doi.org/10.1007/978-3-319-42291-6_16
In order to understand the social environmental forces faced by females involved in both injection drug use and sex work, and their associations with condom use during commercial sex, 200 participants were recruited using snowball sampling methods in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::66ab3ee16e7b22cb9fbc6c5f1ed256f3
https://europepmc.org/articles/PMC3749245/
https://europepmc.org/articles/PMC3749245/