Showing 1 - 20 results of 1,125 for search '"Jiangmen"', query time: 0.28s Refine Results
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    Safety Risk Analysis and Prediction of Vegetable in Jiangmen City Based on Data Mining by Jiebin ZHAO, Suidong HUANG, Yuanming SUN, Zhenlin XU

    Published 2023-10-01
    “…Objective: To establish a safety risk prediction model based on the analysis of food safety sampling data of vegetable in Jiangmen City from 2016 to 2020 and data mining. Methods: A total of 1945 samples of 10 kinds of vegetables from farmers' markets, wholesale markets, supermarkets and catering in Jiangmen City were collected and used to analyze the distribution of unqualified samples and unqualified items. …”
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    Facilitating urban tourism governance with crowdsourced big data: A framework based on Shenzhen and Jiangmen, China by Jianxiao Liu, Yue Yu, Pengfei Chen, Bi Yu Chen, Liang Chen, Ruizhi Chen

    Published 2023-11-01
    “…The dataset encompassed 1,496 tourist attractions and 184,357 tourist reviews for Shenzhen, along with 559 attractions and 2,811 reviews for Jiangmen. By leveraging the proposed framework and its designated functions, we formulate policy recommendations for the advancement of tourism in Shenzhen and Jiangmen. …”
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    Exploring Tourist Experience of Island Tourism Based on Text Mining: A Case Study of Jiangmen, China by Mo Rucong, Qi Huangxiong

    Published 2023-01-01
    “…This study takes the main island tourism attractions in Jiangmen, China, as a case, and analyzes the tourist experience of island tourism through a text mining method based on the text reviews of tourists on Ctrip. …”
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    Epidemiological characteristics and influencing factors of non-suicidal self-injury behaviors among middle school students in Jiangmen by Zhang Xiaolei, Yang Sisi, Liao Mei, Ma Hongsen

    Published 2022-06-01
    “…ObjectiveTo investigate epidemiological characteristics and influencing factors of non-suicidal self-injury (NSSI) behaviors among middle school students in Jiangmen.MethodsA total of 1 220 middle school students in Jiangmen were selected for the study through stratified random sampling from November to December 2020. …”
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    Impact of Comprehensive Land Consolidation Rehabilitation on Ecosystem Services: A Case Study of the Shazai Island, Jiangmen, Guangdong Province by Su Mengyuan, Wu Jialong

    Published 2021-01-01
    “…The research object of this study is Shazai Island, Xinhui District, Jiangmen City, which was the first demonstration project of comprehensive land consolidation and rehabilitation in Guangdong Province. …”
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    Research on Image Classification and Retrieval Using Deep Learning with Attention Mechanism on Diaspora Chinese Architectural Heritage in Jiangmen, China by Le Gao, Yanqing Wu, Tian Yang, Xin Zhang, Zhiqiang Zeng, Chak Kwan Dickson Chan, Weihui Chen

    Published 2023-01-01
    “…Images of the architectural heritage of the Chinese diaspora in Jiangmen City, Guangdong Province, China are the research object of this study. …”
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    A Study on the Optimization of Wind Environment of Existing Villa Buildings in Lingnan Area: A Case Study of Jiangmen’s “Yunshan Poetic” Moon Island Houses by Zhaoming Du, Weihong Guo, Weicong Li, Xuyi Gao

    Published 2022-08-01
    “…In light of the frequent ventilation issues in the Lingnan area, this research suggests a successful ventilation technique using Jiangmen’s “Yunshan Poetic” Moon Island houses as an example. …”
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    Machine learning based on the graph convolutional self-organizing map method increases the accuracy of pollution source identification: A case study of trace metal(loid)s in soils of Jiangmen City, south China by Le Gao, Wanting Zhang, Qiyuan Liu, Xiaoyan Lin, Yongjie Huang, Xin Zhang

    Published 2023-01-01
    “…We compared the performances of GCSOM and SOM, then assessed the pollution source characteristics of trace metal(loid)s (TMs, mostly heavy metals) in Jiangmen City using the GCSOM. Our experimental results showed that the GCSOM is superior to the SOM for identification of TM sources, while the TMs in the soil of Jiangmen originate from three main sources: agricultural activities (mainly in Taishan City, Jiangmen), traffic emissions (mainly in Xinhui and Pengjiang Districts), and industrial activities (mainly in Xinhui District). …”
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