Zobrazeno 1 - 10
of 1 118
pro vyhledávání: '"neural network classifier"'
Publikováno v:
Natural Language Processing Journal, Vol 9, Iss , Pp 100109- (2024)
Memes have become a fundamental part of online communication and humour, reflecting and shaping the culture of today’s digital age. The amplified Meme culture is inadvertently endorsing and propagating casual Misogyny. This study proposes V-LTCS (V
Externí odkaz:
https://doaj.org/article/d143db5b4fcc48b596bcd11dd47981e6
Autor:
Sheng Qu, Xinchun Wu, Yaxiu Tang, Qi Zhang, Laigang Huang, Baojuan Cui, Shengxiu Jiao, Qiangsan Sun, Fanshuo Zeng
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Although auditory stimuli benefit patients with disorders of consciousness (DOC), the optimal stimulus remains unclear. We explored the most effective electroencephalography (EEG)-tracking method for eliciting brain responses to auditory sti
Externí odkaz:
https://doaj.org/article/729b78f220ae436e97157d473d8a7cef
Autor:
Kerehalli Vinayaka Prasad, Hanumesh Vaidya, Choudhari Rajashekhar, Kumar Swamy Karekal, Renuka Sali, Kottakkaran Sooppy Nisar
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract The cultivation of grapes encounters various challenges, such as the presence of pests and diseases, which have the potential to considerably diminish agricultural productivity. Plant diseases pose a significant impediment, resulting in dimi
Externí odkaz:
https://doaj.org/article/da2279e49a0e43a1afc7394b95ea1a0e
Autor:
Cédric Beaulac, Sidi Wu, Erin Gibson, Michelle F. Miranda, Jiguo Cao, Leno Rocha, Mirza Faisal Beg, Farouk S. Nathoo
Publikováno v:
BMC Bioinformatics, Vol 24, Iss 1, Pp 1-18 (2023)
Abstract Background Dealing with the high dimension of both neuroimaging data and genetic data is a difficult problem in the association of genetic data to neuroimaging. In this article, we tackle the latter problem with an eye toward developing solu
Externí odkaz:
https://doaj.org/article/571fc28948e549a38eba00d216b673af
Publikováno v:
Авіаційно-космічна техніка та технологія, Vol 0, Iss 1, Pp 67-77 (2023)
Remote sensing data are widely used in numerous applications. A conventional task solved using remote sensing images is their classification. The classification maps are commonly produced by some pre-trained classifiers applied either to uncompressed
Externí odkaz:
https://doaj.org/article/3c1592dbd9004ce8b47685d8334dfed4
Autor:
Maksim Shishaev, Vladimir Dikovitsky, Vadim Pimeshkov, Nikita Kuprikov, Mikhail Kuprikov, Viacheslav Shkodyrev
Publikováno v:
PeerJ Computer Science, Vol 9, p e1636 (2023)
The article investigates the possibility of identifying the presence of SKOS (Simple Knowledge Organization System) relations between concepts represented by terms on the base of their vector representation in general natural language models. Several
Externí odkaz:
https://doaj.org/article/d61f4fde5893444fafc0451eae348df0
Publikováno v:
PeerJ, Vol 11, p e15862 (2023)
Background Automatic cell type identification has been an urgent task for the rapid development of single-cell RNA-seq techniques. Generally, the current approach for cell type identification is to generate cell clusters by unsupervised clustering an
Externí odkaz:
https://doaj.org/article/1687af24dd644d59a991a5fef4e441a4
Akademický článek
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Akademický článek
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Publikováno v:
Радіоелектронні і комп'ютерні системи, Vol 0, Iss 3, Pp 174-189 (2022)
Remote sensing images have found numerous applications nowadays. A traditional outcome or intermediate result of their processing is a classification map. Such maps are usually obtained from a pre-trained classifier and it is desired to have the prod
Externí odkaz:
https://doaj.org/article/689f7754f1b748a594f80bc600f94e5a