Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Wushour Silamu"'
Publikováno v:
PLoS ONE, Vol 19, Iss 4, p e0290291 (2024)
It is becoming harder to tell rumors from non-rumors as social media becomes a key news source, which invites malicious manipulation that could do harm to the public's health or cause financial loss. When faced with situations when the session struct
Externí odkaz:
https://doaj.org/article/c01b2410a36342b8b58e96ea54802799
Publikováno v:
Applied Sciences, Vol 14, Iss 5, p 1707 (2024)
Current research on scene text recognition primarily focuses on languages with abundant linguistic resources, such as English and Chinese. In contrast, there is relatively limited research dedicated to low-resource languages. Advanced methods for sce
Externí odkaz:
https://doaj.org/article/d21e49d6adeb426c953c6a95e14473c4
Publikováno v:
Sensors, Vol 23, Iss 20, p 8610 (2023)
Aiming at the problems of Uyghur oblique deformation, character adhesion and character similarity in scene images, this paper proposes a scene Uyghur recognition model with enhanced visual prediction. First, the content-aware correction network TPS++
Externí odkaz:
https://doaj.org/article/803b1d35e26444d5864e58e7a2183869
Publikováno v:
Sensors, Vol 23, Iss 19, p 8159 (2023)
Linguistic knowledge helps a lot in scene text recognition by providing semantic information to refine the character sequence. The visual model only focuses on the visual texture of characters without actively learning linguistic information, which l
Externí odkaz:
https://doaj.org/article/8db8185e432d4fef8a72d1360a3bea92
Publikováno v:
PLoS ONE, Vol 18, Iss 6, p e0286915 (2023)
Few-shot Relation Classification identifies the relation between target entity pairs in unstructured natural language texts by training on a small number of labeled samples. Recent prototype network-based studies have focused on enhancing the prototy
Externí odkaz:
https://doaj.org/article/ac6c6e68231a480e8f505b9afcc01714
Publikováno v:
中国工程科学, Vol 23, Iss 2, Pp 81-87 (2021)
The new generation of information and communications technology is deeply integrated with the industrial system. The industrial Internet promotes the ubiquitous and deep interconnection and comprehensive perception of human, machines, and things. The
Externí odkaz:
https://doaj.org/article/a535e1cde98d4def8ca5cbe67b76ad83
Publikováno v:
中国工程科学, Vol 23, Iss 2, Pp 65-73 (2021)
As the new-generation information technology, such as cloud computing and big data, integrates in depth with traditionalindustrial operation technologies, the industrial Internet becomes a new driving force for the digital transformation of industria
Externí odkaz:
https://doaj.org/article/a253e14a0b254997b07069671f587bed
Publikováno v:
IEEE Access, Vol 9, Pp 3570-3578 (2021)
Sentiment analysis is crucial for studying public opinion since it can provide us with valuable information. Existing sentiment analysis methods rely on finding the sentiment element from the content of user-generated. However, the question of why a
Externí odkaz:
https://doaj.org/article/d16b0f8bdc9a4ba69389160beb6c0929
Publikováno v:
Sensors, Vol 22, Iss 24, p 9982 (2022)
There is a growing interest in scene text detection for arbitrary shapes. The effectiveness of text detection has also evolved from horizontal text detection to the ability to perform text detection in multiple directions and arbitrary shapes. Howeve
Externí odkaz:
https://doaj.org/article/b609a07ecdcc43bb9284b2867020a565
Publikováno v:
Sensors, Vol 22, Iss 23, p 9072 (2022)
The segmentation-based scene text detection algorithm has advantages in scene text detection scenarios with arbitrary shape and extreme aspect ratio, depending on its pixel-level description and fine post-processing. However, the insufficient use of
Externí odkaz:
https://doaj.org/article/94d038b4341a4232b98ec20c9419e868