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漆华妹
— 硕士生导师
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教师姓名:漆华妹
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职称:副教授
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职务:通信工程系党支部书记
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教师拼音名称:qihuamei
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性别:女
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所在单位:电子信息学院
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毕业院校:中南大学
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学科:信息与通信工程
- Huamei Qi , Xiaomeng Song, Shengzong Liub, Yan Zhang , Kelvin K.L. Wong d. KFPredict: An ensemble learning prediction framework for diabetesbased on fusion of key features. Computer Methods and Programs in Biomedicine,2023,107378(SCI, JCR Q1))
- 漆华妹, 胡宇轩, 袁正一. 一种基于降噪自动编码器和宽度学习的增量式疾病预测模型[J]. 电子学报. 2023,51(6): 1474-1485.电子学报, 2023
- Huamei Qi and Zheng Zhou. Computation Offloading and Trajectory Control for UAV-Assisted Edge Computing Using Deep Reinforcement Learning. Appl. Sci. 2022,24(12),12870 (SCI,IF=2.291,JCR Q2)
- Huamei Qi and Li Jie. An Energy-Efficient scheme for industrial wireless sensor network based on hierarchical network structure,2022 IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) ,2022:1155-1161,Wuhan, China,2022.12.9-11(CCF C类会议)
- Ying Jiao, Huamei Qi, Jia Wu, Capsule network assisted electrocardiogram classification model for smart healthcare.Biocybernetics and Biomedical Engineering, 2022, 42 (1) : 543-555 (SCI,IF=4.314,JCR Q2).
- Li Xiaoli; Qi Huamei; Wu Jia; Node social nature detection OSN routing scheme based on IoT system,.IEEE Internet of Things Journal, 2022: 1-12 (SCI,IF= 9.515, JCR Q1).
- Li Xiaoli; Qi Huamei; Wu Jia. Efficient path-sense transmission based on IoT system in opportunistic social networks.Peer-to-Peer Netw., 2022, 15 (4) : 811-826 (SCI,IF= 3.307, JCR Q2).
- Huamei, Q., Linlin, F., Zhengyi, Y., Weiwei, Y., Jia, W.: An energy-efficient MAC protocol based on receiver initiation and multi-priority backoff for wireless sensor networks..IET Communications,2021:1-10, 2021
- Qi Hua-Mei, Chen Jia-Qi, Yuan Zheng-Yi and Fan Lin-Lin. A Low Energy Consumption and Low Delay MAC Protocol Based on Receiver Initiation and Capture Effect in 5G IoT. The 21st International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP 2021), 2021
- Huamei Qi , Xiaoyan Kui , Ping Zhong and Shiming Xiong. Study on the Application of Learner's Output-oriented Feynman-Five-Energy Method in Computer Teaching..The 16th International Conference on Computer Science & Education (ICCSE 2021). Lancaster, United Kingdom , 2021 :258-261, 2021