Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Fangyuan Jiao"'
Publikováno v:
2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA).
Aiming at the problem that tobacco leaves are difficult to disperse in the automatic tobacco grading system, a tobacco stem recognition and location model based on YOLOV3 convolution neural network was designed. The algorithm was optimized in network
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f7bd090147eec545b60ba13522bd689c
https://doi.org/10.1109/icaica52286.2021.9497964
https://doi.org/10.1109/icaica52286.2021.9497964
Publikováno v:
2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA).
In order to improve the accuracy and speed of tobacco leaf classification and the problems of insufficient tobacco leaf samples, this paper studied the classification algorithm of 41 kinds of tobacco leaf pictures based on deep learning method. In or
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6328949c151b3977394449b29d43ebe7
https://doi.org/10.1109/icaica52286.2021.9497953
https://doi.org/10.1109/icaica52286.2021.9497953
Autor:
Keran Zhai, Di Liang, Helin Li, Fangyuan Jiao, Bingxiao Yan, Jing Liu, Ziyao Lei, Li Huang, Xiangyu Gong, Xin Wang, Jiashun Miao, Yichuan Wang, Ji-Yun Liu, Lin Zhang, Ertao Wang, Yiwen Deng, Chi-Kuang Wen, Hongwei Guo, Bin Han, Zuhua He
Publikováno v:
Nature. 601(7892)
Pattern-triggered immunity (PTI) and effector-triggered immunity (ETI) in plants enable them to respond to pathogens by activating the production of defence metabolites that orchestrate immune responses
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::61bc7a1a3024c31e32f8177cce936cca
https://pubmed.ncbi.nlm.nih.gov/34912119
https://pubmed.ncbi.nlm.nih.gov/34912119
Publikováno v:
International Journal of Pattern Recognition and Artificial Intelligence. 35:2159042
In order to study the development trend of the Internet’s role in supporting enterprise innovation, a new method based on deep learning algorithm and knowledge graph technology is proposed. Experiments show that the accuracy, F1 value, recall rate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf240c57ac61615a50a6d6561180525e
https://doi.org/10.1142/s0218001421590424
https://doi.org/10.1142/s0218001421590424
Publikováno v:
International Journal of Multimedia and Ubiquitous Engineering. 10:55-64
Image enhancement can improve the perception of information for human viewers, which is also a basic and pretty significant role in image processing. However, there also exist some limitations in most image enhancement algorithms. In this paper discu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ab0730897abcd2a58926479f70be629f
https://doi.org/10.14257/ijmue.2015.10.8.06
https://doi.org/10.14257/ijmue.2015.10.8.06
Publikováno v:
Journal of Engineering and Technological Sciences, Vol 46, Iss 4 (2014)
Journal of Engineering and Technological Sciences, Vol 46, Iss 4, Pp 381-393 (2014)
Journal of Engineering and Technological Sciences, Vol 46, Iss 4, Pp 381-393 (2014)
For face images with unbalance color and light, this paper proposed a method of skin region segmentation based on preprocessing of multicolor face image sequence. In this method, the multicolor face images of the sequence were preprocessed to remove
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::118bedc7f690bef89ee908e45de1737f
https://doi.org/10.5614/j.eng.technol.sci.2014.46.4.3
https://doi.org/10.5614/j.eng.technol.sci.2014.46.4.3
Publikováno v:
Journal of Engineering & Technological Sciences; 2014, Vol. 46 Issue 4, p381-393, 13p