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周新辉

博士/讲师/硕导

联系方式:zxhui@henu.edu.cn

  

一、个人基本信息

周新辉,男,1990年7月生,河南信阳人,研究生学历,工学博士,讲师。

二、主讲课程和研究方向

主讲课程:机器学习与数据挖掘、R语言深度学习

研究方向:深度学习、图像处理、农业信息化

三、论文著作

[1] Yuan S, Duan Y, Su H T, Zhou X H*, Hao Y F*. HDA-YOLO: a hierarchical and densely-fused attention network for rice pest detection in complex agricultural environments[J]. Frontiers in Plant Science, 2026.

[2] Zhou X H*, Hao Y F, Liu Y, Dang L X, Qiao B J, Zuo X J*. Short-term prediction of dissolved oxygen and water temperature using deep learning with dual proportional-integral-derivative error corrector in pond culture[J]. Engineering Applications of Artificial Intelligence, 2025, 142, 109964.

[3] Zhou X H, Wang J P, Liu Y R, Duan Q L*. Deep learning with PID residual elimination network for time-series prediction of water quality in aquaculture industry[J]. Computers and Electronics in Agriculture, 2023, 212, 108125.

[4] Zhou X H, Wang J P, Zhang H X, Duan Q L*. Application of a hybrid improved sparrow search algorithm for the prediction and control of dissolved oxygen in the aquaculture industry[J]. Applied Intelligence, 2023, 53(7), 8482-8502.

[5] Zhou X H, Wang J P, Huang L, Li D L, Duan Q L*. Modelling and controlling dissolved oxygen in recirculating aquaculture systems based on mechanism analysis and an adaptive PID controller[J]. Computers and Electronics in Agriculture, 2022, 192, 106583.

[6] Zhou X H, Wang J P, Cao X K, Fan Y X, Duan Q L*. Simulation of future dissolved oxygen distribution in pond culture based on sliding window-temporal convolutional network and trend surface analysis[J]. Aquacultural Engineering, 2021, 95, 102200.

[7] Zhou X H, Li D L, Zhang L, Duan Q L*. Application of an adaptive PID controller enhanced by a differential evolution algorithm for precise control of dissolved oxygen in recirculating aquaculture systems[J]. Biosystems Engineering, 2021, 208, 186-198.

四、科研项目

[1] 国家自然科学基金青年基金项目(C类)(项目号:32503263),2026.01.01-2028.12.31,经费30万,在研,主持。

[2] 河南省科技攻关计划项目(项目号:252102111180),2025.01.01-2026.12.31,经费10万,在研,主持。

[3] 横向课题:红外遥感图像目标识别算法,2024.12.20-2025.04.20,经费20万元,在研,主持。

[4] 横向课题:海岸线产品算法开发、集成与测试,2024.10.11-2024.11.30,经费15万元,结题,主持。

五、联系方式

E-mail:zxhui@henu.edu.cn