Zobrazeno 1 - 10
of 86
pro vyhledávání: '"Yongbin QIN"'
Autor:
Jianwu Lin, Xin Zhang, Yongbin Qin, Shengxian Yang, Xingtian Wen, Tomislav Cernava, Quirico Migheli, Xiaoyulong Chen
Publikováno v:
Plant Phenomics, Vol 6 (2024)
Accurate identification of plant diseases is important for ensuring the safety of agricultural production. Convolutional neural networks (CNNs) and visual transformers (VTs) can extract effective representations of images and have been widely used fo
Externí odkaz:
https://doaj.org/article/49445800235446318a990a782de5bc3c
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 34, Iss 10, Pp 9163-9172 (2022)
Recognizing entities and extracting their relations are significant tasks for information extraction. Many recent works focus on leveraging entity markers for better span (pair) representations, which have achieved promising performance. Nevertheless
Externí odkaz:
https://doaj.org/article/c009ccfa681c451bb2fee7fef5bb99ed
Autor:
Shaolin AO, Yongbin QIN, Ruizhang HUANG, Yanping CHEN, Lijuan LIU, Qinghua ZHENG, Changheng CHEN, Shaofen CHENG
Publikováno v:
大数据, Vol 8, Pp 145-157 (2022)
The court system mainly has two modes: manual designated division and simple random division.The above method cannot achieve automatic matching of persons and cases, and there are drawbacks such as money cases and relationship cases.At present, the r
Externí odkaz:
https://doaj.org/article/cdd2d0d4daed48499c18ddaef59f8e98
Autor:
Qianding Huang, Xingcai Wu, Qi Wang, Xinyu Dong, Yongbin Qin, Xue Wu, Yangyang Gao, Gefei Hao
Publikováno v:
Plant Phenomics, Vol 5 (2023)
Plant disease diagnosis in time can inhibit the spread of the disease and prevent a large-scale drop in production, which benefits food production. Object detection-based plant disease diagnosis methods have attracted widespread attention due to thei
Externí odkaz:
https://doaj.org/article/af2db9c15b14490480cd67a9a2eb026d
Publikováno v:
大数据, Vol 7, Pp 19-29 (2021)
Extraction of legal elements is an important basis for judicial intelligent auxiliary applications, and its purpose is to identify the key elements involved in the judgment document.In the past, extracting legal elements usually used multi-label clas
Externí odkaz:
https://doaj.org/article/2fc1da42058a472c88f4fc13a220915a
Publikováno v:
大数据, Vol 7, Pp 30-40 (2021)
Charge prediction is to find the appropriate charges based on the facts of the given case.Existing methods mainly use text content for classification, but they cannot effectively use case elements.For the shortcomings of the existing methods, the met
Externí odkaz:
https://doaj.org/article/262a0d7acc8143ba9054fb082eb6d39a
Publikováno v:
Tongxin xuebao, Vol 42, Pp 100-107 (2021)
Aiming at the problem of difficult recognition and uniqueness of Chinese predicate head, a Highway-BiLSTM model was proposed.Firstly, multi-layer BiLSTM networks were used to capture multi-granular semantic dependence in a sentence.Then, a Highway ne
Externí odkaz:
https://doaj.org/article/f2e1956ad1634e65b19beb874bcd3d43
Publikováno v:
Tehnički Vjesnik, Vol 28, Iss 6, Pp 2138-2146 (2021)
The assignment of cases means the court assigns cases to specific judges. The traditional case assignment methods, based on the facts of a case, are weak in the analysis of semantic structure of the case not considering the judges' expertise. By anal
Externí odkaz:
https://doaj.org/article/b6bdd79ab6e7405789c94bf2111e3637
Autor:
Yixiang Bian, Shien Lu, Zhi Wang, Yongbin Qin, Jialing Li, Guangming Guo, Junjie Gong, Yani Jiang
Publikováno v:
Heliyon, Vol 8, Iss 5, Pp e09480- (2022)
A BA (bionic ampulla) was designed and fabricated using an SMPF (Symmetric electrodes Metal core PVDF Fiber) sensor, which could imitate the sensory hair cells to sense the deformation of the cupula of the BA. Based on the BA, a bionic semicircular c
Externí odkaz:
https://doaj.org/article/d3bccde617444e608268179642eaeee9
Publikováno v:
Tongxin xuebao, Vol 41, Pp 155-164 (2020)
In response to the problems traditional multi-view document clustering methods separate the multi-view document representation from the clustering process and ignore the complementary characteristics of multi-view document clustering,an iterative alg
Externí odkaz:
https://doaj.org/article/ecb163a7995541979f57ebf62b6a7f0d