Zobrazeno 1 - 10
of 78
pro vyhledávání: '"Xuedong Tian"'
Autor:
Yongfu Qin, Yuan Gao, Fengzhen Lv, Fangfang Huang, Fuchi Liu, Tingting Zhong, Yuhang Cui, Xuedong Tian
Publikováno v:
Discover Nano, Vol 18, Iss 1, Pp 1-10 (2023)
Abstract Dense and flat La $$_{2}$$ 2 NiFeO $$_{6}$$ 6 (LNFO) films were fabricated on the indium tin oxide-coated glass (ITO/glass) substrate by sol–gel method. The bipolar resistive switching behavior (BRS) could be maintained in 100 cycles and r
Externí odkaz:
https://doaj.org/article/5b2cc1508e244582bcd69a46e1061de6
Publikováno v:
IEEE Access, Vol 11, Pp 27942-27954 (2023)
Previous scientific literature retrieval methods, which are based on mathematical expression, ignore the literature attributes and the association between the literature, and the retrieval accuracy was affected. In this study, literature retrieval mo
Externí odkaz:
https://doaj.org/article/fdcc39a5d4644d1b84f8936195566b3b
Publikováno v:
Mathematical Biosciences and Engineering, Vol 19, Iss 5, Pp 4976-4990 (2022)
In a retrieval system for mathematical documents based on mathematical expressions, the input and matching of mathematical expressions are key steps that affect the system's usability, accessibility and efficiency because of their special attributes.
Externí odkaz:
https://doaj.org/article/2b0e97caf584453c8f80f157d681ad53
Autor:
Ziyang Feng, Xuedong Tian
Publikováno v:
Applied Sciences, Vol 13, Iss 20, p 11207 (2023)
Achieving scientific document retrieval by considering the wealth of mathematical expressions and the semantic text they contain has become an inescapable trend. Current scientific document matching models focus solely on the textual features of expr
Externí odkaz:
https://doaj.org/article/1b4b08ef8488419b9bb051fd695639df
Publikováno v:
Mathematical Biosciences and Engineering, Vol 19, Iss 4, Pp 3748-3766 (2022)
Scientific documents contain a large number of mathematical expressions and texts containing mathematical semantics. Simply using mathematical expressions or text to retrieve scientific documents can hardly meet retrieval needs. The real difficulty i
Externí odkaz:
https://doaj.org/article/efab8e67da8e4869b08686a4774935f5
Publikováno v:
IEEE Access, Vol 10, Pp 89852-89860 (2022)
Two-stage instance segmentation method outperforms the one-stage counterpart on complex occasions. However, we found that the RoIAlign operation identifies the feature map to smaller size, and the convolution or up-sampling causes the loss of detaile
Externí odkaz:
https://doaj.org/article/3cf83c7bf9dc44efb2f613662bcb727c
Publikováno v:
Nanoscale Research Letters, Vol 16, Iss 1, Pp 1-9 (2021)
Abstract High-density Cs2AgBiBr6 films with uniform grains were prepared by a simple one-step and low-temperature sol–gel method on indium tin oxide (ITO) substrates. An explicit tristate bipolar resistance switching behavior was observed in the Pt
Externí odkaz:
https://doaj.org/article/bfc236bf6c274552a4b2f1d84b75392d
Autor:
Xuedong Tian, Jiameng Wang
Publikováno v:
IEEE Access, Vol 9, Pp 8708-8717 (2021)
When retrieving scientific documents with mathematical expressions as the main content, both mathematical expressions and their contextual text features require consideration. However, mathematical expressions are different from texts in terms of gra
Externí odkaz:
https://doaj.org/article/c5b07e66518943dabbb696fddf7d32b3
Publikováno v:
IEEE Access, Vol 8, Pp 146577-146587 (2020)
To address the low segmentation accuracy caused by the rich glyph styles of ancient Chinese characters and the complex layout of ancient Chinese books, which affects the retrieval and recognition results, an algorithm for the layout image analysis of
Externí odkaz:
https://doaj.org/article/add62a5f24f848a98840b6d6d096bd36
Publikováno v:
Entropy, Vol 24, Iss 6, p 810 (2022)
Traditional mathematical search models retrieve scientific documents only by mathematical expressions and their contexts and do not consider the ontological attributes of scientific documents, which result in gaps between the queries and the retrieva
Externí odkaz:
https://doaj.org/article/fe893b014c68417ebc981c6f7338266c