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Proceedings. International Conference on Advanced Information Networking and Applications最新文献

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Classification of Motor Imaginary in EEG using feature Optimization and Machine Learning 基于特征优化和机器学习的脑电运动虚数分类
Dr. Virendra Kumar Tiwari, Priyanka Singh
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引用次数: 0
Utilization of Machine Learning Strategies in the Investigation of Suspected Credit Card Fraud 机器学习策略在可疑信用卡欺诈调查中的应用
Rifat Al Mamun Rudro, Md. Faruk Abdullah Al Sohan
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引用次数: 0
Decoding COVID-19 Vaccine Hesitancy Using Multiple Regression Analysis with Socioeconomic Values. 使用具有社会经济价值的多元回归分析解码新冠肺炎疫苗犹豫。
Pub Date : 2023-01-01 Epub Date: 2023-03-15 DOI: 10.1007/978-3-031-28694-0_61
Wei Lu, Ling Xue, Bria Shorten

With the growth and development of COVID-19 and its variants, reaching a level of herd immunity is critically important for national security in public health. To deal with COVID-19, the United States has implemented phased plans to distribute COVID-19 vaccines. As of November 2022, over 80% of Americans had received their first shot to guard against COVID-19, and 68.6% were considered fully vaccinated, according to the dataset provided by CDC. However, a significant number of American people still hesitate to receive a shot of the COVID-19 vaccine. This paper aims to demystify COVID-19 vaccine hesitancy by analyzing various socioeconomic characteristics among individuals and communities, including unemployment rate, age groups, median household income, and education level. A multiple regression modeling and data visualization analysis show patterns with an increasing trend of vaccine hesitancy associated with a lower median household income, a younger age group, and a lower education level, which would help policymakers to make policies accordingly to target vaccine support information and remove this hurdle to end the COVID-19 pandemic effectively.

随着新冠肺炎及其变种的增长和发展,达到群体免疫水平对国家公共卫生安全至关重要。为了应对新冠肺炎,美国实施了分阶段分发新冠肺炎疫苗的计划。根据美国疾病控制与预防中心提供的数据集,截至2022年11月,超过80%的美国人接种了第一针预防新冠肺炎,68.6%的人被认为完全接种了疫苗。然而,相当多的美国人仍然对接种新冠肺炎疫苗犹豫不决。本文旨在通过分析个人和社区的各种社会经济特征,包括失业率、年龄组、家庭收入中位数和教育水平,来解开新冠肺炎疫苗犹豫的神秘面纱。多元回归模型和数据可视化分析显示,与家庭收入中位数较低、年龄组较年轻和教育水平较低相关的疫苗犹豫趋势不断增加,这将有助于决策者制定相应的政策,以针对疫苗支持信息,消除这一障碍,有效结束新冠肺炎大流行。
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引用次数: 0
Performance Analysis of a BESU Permissioned Blockchain BESU许可区块链的性能分析
L. Mostarda, A. Pinna, D. Sestili, R. Tonelli
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引用次数: 0
Why Zero Trust Framework Adoption has Emerged During and After Covid-19 Pandemic 为什么在Covid-19大流行期间和之后出现了零信任框架的采用
Abeer Z. Alalmaie, P. Nanda, Xiangjian He, Mohrah Saad Alayan
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引用次数: 2
Performance Evaluation of FC-RDVM and LDIWM Router Placement Methods for WMNs by WMN-PSODGA Hybrid Simulation System Considering Load Balancing and Chi-Square Distribution of Mesh Clients 考虑负载均衡和网格客户端卡方分布的WMN-PSODGA混合仿真系统中FC-RDVM和LDIWM路由放置方法的性能评价
Admir Barolli, Shinji Sakamoto, Elis Kulla, L. Barolli, M. Takizawa
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引用次数: 0
Runtime Model-Based Assurance of Open and Adaptive Cyber-Physical Systems 基于运行时模型的开放自适应网络物理系统保障
Luís Nascimento, A. L. Oliveira, Regina Villela, Ran Wei, R. Hawkins, T. Kelly
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引用次数: 0
Supervised Machine Learning and Detection of Unknown Attacks: An Empirical Evaluation 监督机器学习和未知攻击检测:经验评估
Miguel S. Rocha, Gustavo D. G. Bernardo, Luan Mundim, B. B. Zarpelão, R. S. Miani
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引用次数: 0
Optimal and Suboptimal Routing Protocols for WSN WSN的最优和次优路由协议
Rahil Bensaid, A. B. Mnaouer, H. Boujemaa
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引用次数: 0
Lotka-Volterra Applied to Misinformation Extinction in Opportunistic Networks Lotka-Volterra在机会主义网络中错误信息消除中的应用
Victor Cracel Messner, Anderson Zudio, D. Dutra, Cláudio L. Amorim
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引用次数: 0
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Proceedings. International Conference on Advanced Information Networking and Applications
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