Zobrazeno 1 - 10
of 118
pro vyhledávání: '"Su, Jingyi"'
The mass production of complex software has made it impossible to manually test it for security vulnerabilities. Automated security testing tools come in a variety of flavors, function at various stages of software development, and target different c
Externí odkaz:
http://arxiv.org/abs/2301.06215
Autor:
Luo, Yali, Zhang, Siyu, Su, Jingyi, Cao, Zhaoxin, Wang, Xinyu, Shen, Wen, Li, Tingting, Ge, Xuemei
Publikováno v:
In Food Control August 2024 162
Autor:
Yadav, Vivek, Zhong, Haixia, Patel, Manish Kumar, Zhang, Songlin, Zhou, Xiaoming, Zhang, Chuan, Zhang, Jing, Su, Jingyi, Zhang, Fuchun, Wu, Xinyu
Publikováno v:
In Plant Stress March 2024 11
Publikováno v:
In Heliyon 29 February 2024 10(4)
Autor:
Su, Jingyi, Cao, Zhaoxin, Mao, Yueyang, Shen, Wen, Wang, Xinyu, Zhang, Siyu, Chen, Yanqi, Ge, Xuemei
Publikováno v:
In Journal of Stored Products Research February 2024 105
Multiple-choice questions (MCQs) offer the most promising avenue for skill evaluation in the era of virtual education and job recruiting, where traditional performance-based alternatives such as projects and essays have become less viable, and gradin
Externí odkaz:
http://arxiv.org/abs/2012.01186
How can we effectively leverage the domain knowledge from remote sensing to better segment agriculture land cover from satellite images? In this paper, we propose a novel, model-agnostic, data-fusion approach for vegetation-related computer vision ta
Externí odkaz:
http://arxiv.org/abs/2005.03743
Autor:
Chiu, Mang Tik, Xu, Xingqian, Wang, Kai, Hobbs, Jennifer, Hovakimyan, Naira, Huang, Thomas S., Shi, Honghui, Wei, Yunchao, Huang, Zilong, Schwing, Alexander, Brunner, Robert, Dozier, Ivan, Dozier, Wyatt, Ghandilyan, Karen, Wilson, David, Park, Hyunseong, Kim, Junhee, Kim, Sungho, Liu, Qinghui, Kampffmeyer, Michael C., Jenssen, Robert, Salberg, Arnt B., Barbosa, Alexandre, Trevisan, Rodrigo, Zhao, Bingchen, Yu, Shaozuo, Yang, Siwei, Wang, Yin, Sheng, Hao, Chen, Xiao, Su, Jingyi, Rajagopal, Ram, Ng, Andrew, Huynh, Van Thong, Kim, Soo-Hyung, Na, In-Seop, Baid, Ujjwal, Innani, Shubham, Dutande, Prasad, Baheti, Bhakti, Talbar, Sanjay, Tang, Jianyu
The first Agriculture-Vision Challenge aims to encourage research in developing novel and effective algorithms for agricultural pattern recognition from aerial images, especially for the semantic segmentation task associated with our challenge datase
Externí odkaz:
http://arxiv.org/abs/2004.09754
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