为祖国庆生

何卫东

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Convolutional Neural Network Based Traffic Sign Recognition System: Xu, Shuang^*; Niu, Deqing; Tao, Bo; Li, Gongfa; 5th International Conference on Systems and Informatics (ICSAI), 2018-11-10 To 2018-11-12.; 赞收藏引用分享浏览(5)

7

被引

Traffic Sign Recognition with Convolutional Neural Network Based on Max Pooling Positions: Qian, Rongqiang^*; Yue, Yong; Coenen, Frans; Zhang, Bailing; 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD), Changsha, PEOPLES R CHINA, 2016-08-13 To 2016-08-15.; 赞收藏引用分享浏览(5)

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Real-time traffic sign recognition based on a general purpose GPU and deep-learning: Lim Kwangyong; Hong Yongwon; Choi Yeongwoo; Byun Hyeran^*; PLos One, 2017, 12(3): e0173317.; 赞收藏引用分享浏览(8)

48

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Deep-Learning Convolutional Neural Networks Accurately Classify Genetic Mutations in Gliomas: Chang, P.; Grinband, J.; Weinberg, B. D.; Bardis, M.; Khy, M.; Cadena, G.; Su, M. -Y.; Cha, S.; Filippi, C. G.; Bota, D.; Baldi, P.; Poisson, L. M.; Jain, R.; Chow, D.^*; American Journal of Neuroradiology, 2018, 39(7): 1201-1207.; 赞收藏引用分享浏览

364

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Real-Time Embedded Traffic Sign Recognition Using Efficient Convolutional Neural Network: Xie Bangquan^*; Xiong, Weng Xiao; IEEE Access, 2019, 7: 53330-53346.; 赞收藏引用分享浏览(7)

41

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Deep-Learning Strategy Based on Convolutional Neural Network for Wall Heat Flux Prediction: Dai, Gang^*; Zhao, Wenwen; Yao, Shaobo; Chen, Weifang; AIAA Journal, 2023, 61(11): 4772-4782.; 赞收藏引用分享浏览(1)

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Evaluation of Different Machine Learning Methods and Deep-Learning Convolutional Neural Networks for Landslide Detection: Ghorbanzadeh, Omid^*; Blaschke, Thomas; Gholamnia, Khalil; Meena, Sansar Raj; Tiede, Dirk; Aryal, Jagannath; Remote Sensing, 2019, 11(2): 196.; 赞收藏引用分享浏览(1)

584

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A new deep-learning strawberry instance segmentation methodology based on a fully convolutional neural network: Perez-Borrero, Isaac^*; Marin-Santos, Diego; Vasallo-Vazquez, Manuel J.; Gegundez-Arias, Manuel E.; Neural Computing & Applications, 2021, 33(22): 15059-15071.; 赞收藏引用分享浏览

27

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Portable convolution neural networks for traffic sign recognition in intelligent transportation systems: Zhou, Junhao; Dai, Hong-Ning; Wang, Hao; 12th IEEE International Conference on Internet of Things, 15th IEEE International Conference on Green Computing and Communications, 12th IEEE International Conference on Cyber, Physical and Social Computing and 5th IEEE International Conference on Smart Data, iThings/GreenCom/CPSCom/SmartData 2019, 2019-07-14 To 2019-07-17.; 赞收藏引用分享浏览

4

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Urinary bladder segmentation in CT urography using deep-learning convolutional neural network and level sets: Cha, Kenny H.^*; Hadjiiski, Lubomir; Samala, Ravi K.; Chan, Heang-Ping; Caoili, Elaine M.; Cohan, Richard H.; Medical Physics, 2016, 43(4): 1882-1896.; 赞收藏引用分享浏览(5)

184

被引

访问全文 Convolutional Neural Network Based Traffic Sign Recognition System Xu, Shuang^; Niu, Deqing; Tao, Bo; Li, Gongfa 5th International Conference on Systems and Informatics (ICSAI)*, 2018-11-10 To 2018-11-12. 赞收藏引用分享浏览(5)	7 被引
Traffic Sign Recognition with Convolutional Neural Network Based on Max Pooling Positions Qian, Rongqiang^; Yue, Yong; Coenen, Frans; Zhang, Bailing 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)*, Changsha, PEOPLES R CHINA, 2016-08-13 To 2016-08-15. 赞收藏引用分享浏览(5)
访问全文 Real-time traffic sign recognition based on a general purpose GPU and deep-learning Lim Kwangyong; Hong Yongwon; Choi Yeongwoo; Byun Hyeran^* PLos One, 2017, 12(3): e0173317. 赞收藏引用分享浏览(8)	48 被引
访问全文 Deep-Learning Convolutional Neural Networks Accurately Classify Genetic Mutations in Gliomas Chang, P.; Grinband, J.; Weinberg, B. D.; Bardis, M.; Khy, M.; Cadena, G.; Su, M. -Y.; Cha, S.; Filippi, C. G.; Bota, D.; Baldi, P.; Poisson, L. M.; Jain, R.; Chow, D.^* American Journal of Neuroradiology, 2018, 39(7): 1201-1207. 赞收藏引用分享浏览	364 被引
访问全文 Real-Time Embedded Traffic Sign Recognition Using Efficient Convolutional Neural Network Xie Bangquan^; Xiong, Weng Xiao IEEE Access*, 2019, 7: 53330-53346. 赞收藏引用分享浏览(7)	41 被引
访问全文 Deep-Learning Strategy Based on Convolutional Neural Network for Wall Heat Flux Prediction Dai, Gang^; Zhao, Wenwen; Yao, Shaobo; Chen, Weifang AIAA Journal*, 2023, 61(11): 4772-4782. 赞收藏引用分享浏览(1)
访问全文 Evaluation of Different Machine Learning Methods and Deep-Learning Convolutional Neural Networks for Landslide Detection Ghorbanzadeh, Omid^; Blaschke, Thomas; Gholamnia, Khalil; Meena, Sansar Raj; Tiede, Dirk; Aryal, Jagannath Remote Sensing*, 2019, 11(2): 196. 赞收藏引用分享浏览(1)	584 被引
访问全文 A new deep-learning strawberry instance segmentation methodology based on a fully convolutional neural network Perez-Borrero, Isaac^; Marin-Santos, Diego; Vasallo-Vazquez, Manuel J.; Gegundez-Arias, Manuel E. Neural Computing & Applications*, 2021, 33(22): 15059-15071. 赞收藏引用分享浏览	27 被引
访问全文 Portable convolution neural networks for traffic sign recognition in intelligent transportation systems Zhou, Junhao; Dai, Hong-Ning; Wang, Hao 12th IEEE International Conference on Internet of Things, 15th IEEE International Conference on Green Computing and Communications, 12th IEEE International Conference on Cyber, Physical and Social Computing and 5th IEEE International Conference on Smart Data, iThings/GreenCom/CPSCom/SmartData 2019, 2019-07-14 To 2019-07-17. 赞收藏引用分享浏览	4 被引
访问全文 Urinary bladder segmentation in CT urography using deep-learning convolutional neural network and level sets Cha, Kenny H.^; Hadjiiski, Lubomir; Samala, Ravi K.; Chan, Heang-Ping; Caoili, Elaine M.; Cohan, Richard H. Medical Physics*, 2016, 43(4): 1882-1896. 赞收藏引用分享浏览(5)	184 被引

为祖国庆生

Construction of a pathogenic microorganism detection method based on third-generation nanopore sequencing data

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