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Akademický článek

Effect of Atomized Water Spray during Vacuum Pre-cooling on the Quality of Pakchoi during Low Temperature Circulation and the Shelf Life Period

Autor: WANG Xinyu, AN Ronghui, ZHAO Anqi, HAN Ying, HU Huali, LI Pengxia, YAN Tingcai, LI Guofeng

Publikováno v: Shipin Kexue, Vol 44, Iss 7, Pp 211-219 (2023)

This work aimed to study the effect of atomized water spray during vacuum pre-cooling on the quality of pakchoi during low temperature circulation and the shelf life period. Quality and nutritional parameters of pakchoi subjected to vacuum pre-coolin

Externí odkaz: https://doaj.org/article/e0f9b450a18e4abd85fc1eb4772ec8d8

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Akademický článek

Transcriptome and gut microbiota analyses reveal a possible mechanism underlying rifampin-mediated interruption of the larval development of chironomid Propsilocerus akamusi (Diptera: Chironomidae)

Autor: Zeyang Sun, Yue Liu, Aoran Hou, Anqi Han, Chuncai Yan, Jinsheng Sun

Publikováno v: Ecotoxicology and Environmental Safety, Vol 264, Iss , Pp 115467- (2023)

Chironomids, the most abundant insect group found in freshwater habitats, are known to be pollution tolerate and serve as important bioindicators of contaminant stress. Gut microbiota has recently been shown to potentially provide a number of benefic

Externí odkaz: https://doaj.org/article/146198589103486eb2b19e7b51911f14

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Akademický článek

Edge gradient feature and long distance dependency for image semantic segmentation

Autor: Hao Zhou, Anqi Han, Haodong Yang, Jun Zhang

Publikováno v: IET Computer Vision, Vol 13, Iss 1, Pp 53-60 (2019)

Image semantic segmentation is a challenging problem for low‐level computer vision. Recently, deep convolutional neural networks (DCNNs) have been proved to achieve outstanding performance in image semantic segmentation. Most current methods still

Externí odkaz: https://doaj.org/article/72342b1d21314d48a85e2d31ba3eebaa

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Edge gradient feature and long distance dependency for image semantic segmentation

Autor: Jun Zhang, Haodong Yang, Hao Zhou, Anqi Han

Publikováno v: IET Computer Vision. 13:53-60

Image semantic segmentation is a challenging problem for low-level computer vision. Recently, deep convolutional neural networks (DCNNs) have been proved to achieve outstanding performance in image semantic segmentation. Most current methods still ha

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::05b1a33f28ccf53fd804ac57709086e6
https://doi.org/10.1049/iet-cvi.2018.5035

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Recurrent Highway Networks with Attention Mechanism for Scene Text Recognition

Autor: Anqi Han, Shuohao Li, Xiaoqing Yin, Haodong Yang, Jun Zhang

Publikováno v: DICTA

Scene Text Recognition is an extremely useful but challenging task and has drawn much attention in recent years. The best of previous model is CNN-LSTM model with attention mechanism, and it can recognize the whole text without character-level segmen

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::80ee980acbedaaa29d79d6302573c3db
https://doi.org/10.1109/dicta.2017.8227484

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Akademický článek

Review network for scene text recognition.

Autor: Shuohao Li, Anqi Han, Xu Chen, Xiaoqing Yin, Jun Zhang

Publikováno v: Journal of Electronic Imaging; Sep/Oct2017, Vol. 26 Issue 5, p1-9, 9p

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Review network for scene text recognition

Autor: Anqi Han, Jun Zhang, Shuohao Li, Xiaoqing Yin, Xu Chen

Publikováno v: Journal of Electronic Imaging. 26:1

Recognizing text in images captured in the wild is a fundamental preprocessing task for many computer vision and machine learning applications and has gained significant attention in recent years. This paper proposes an end-to-end trainable deep revi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e11a994490882bec0ee10e09491ecbe3
https://doi.org/10.1117/1.jei.26.5.053023

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