導師簡介——谷宇

2022/09/05 15:50:03    人瀏覽

姓 名:谷宇

性 別:

最高學位/職稱📃:博士/教授

專業領域:電子信息-控製工程

研究方向:故障診斷與智能信息處理,工業過程控製與工業軟件

主講課程:本科生課程:誤差理論與數據處理

主要榮譽🧑🏼‍🌾✍️:俄羅斯自然科學院院士,俄羅斯工程院院士🤦,廣東省高等熊猫珠江學者特聘教授。

出版著作及代表性論文:(著作🧛🏻‍♀️、論文分別填寫,代表作限填10篇)

1. Liang S, Liu H,Gu Y*, et al. Fast automated detection of COVID-19 from medical images using convolutional neural networks[J]. Communications Biology, 2021, 4(1): 1-13.

2. Liang S,Gu Y*. Computer-aided diagnosis of Alzheimer’s disease through weak supervision deep learning framework with attention mechanism[J]. Sensors, 2020, 21(1): 220.

3. Wei H, Zhang Q, Shang M,Gu Y*. Extreme learning Machine-based classifier for fault diagnosis of rotating Machinery using a residual network and continuous wavelet transform[J]. Measurement, 2021, 183: 109864.

4. Wang X,Gu Y*, Liu H. A transfer learning method for the protection of geographical indication in China using an electronic nose for the identification of Xihu Longjing tea[J]. IEEE Sensors Journal, 2021, 21(6): 8065-8077.

5. Liang S,Gu Y*. A deep convolutional neural network to simultaneously localize and recognize waste types in images[J]. Waste Management, 2021, 126: 247-257.

6. Yu D,Gu Y*. A machine learning method for the fine-grained classification of green tea with geographical indication using a MOS-based electronic nose[J]. Foods, 2021, 10(4): 795.

7. Cao B, Sun Z, Zhang J,Gu Y*. Resource Allocation in 5G IoV Architecture Based on SDN and Fog-Cloud Computing[J]. IEEE Transactions on Intelligent Transportation Systems, 2021, 22(6): 3832-3840.

8. Cao B,Gu Y*, Lv Z, et al. RFID reader anticollision based on distributed parallel particle swarm optimization[J]. IEEE Internet of Things Journal, 2020, 8(5): 3099-3107.

9. Cao B, Zhao J,Gu Y*, et al. Applying graph-based differential grouping for multiobjective large-scale optimization[J]. Swarm and Evolutionary Computation, 2020, 53: 100626.

10. Liu H, Li Q,Gu Y*. A multi-task learning framework for gas detection and concentration estimation[J]. Neurocomputing, 2020, 416: 28-37.

近5年主持承擔科研項目及經費🫰🏼🥓:(已結題、正承擔的課題應分別註明)

1. 廣東省自然科學基金面上項目, 2021A1515011970,聚合物QCM傳感器型電子鼻信號漂移抑製技術研究, 2021/01-2023/12,資助經費: 10萬元,在研,主持。

科研成果(獲獎🏍、專利、版權、著作權🦮、外觀設計等):

1.“十三五”國家重點出版物教材《人工智能基礎》,主編

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