Novel dual convolution adaptive focus neural network for book genre classification.

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Title: Novel dual convolution adaptive focus neural network for book genre classification.
Authors: Zeng Q; Beijing Institute of Graphic Communication, Beijing, China., Zhang L; Beijing Institute of Graphic Communication, Beijing, China., Zhao J; Beijing Institute of Graphic Communication, Beijing, China., Xu A; College of Acupuncture-Moxibustion and Tuina, Beijing University of Chinese Medicine, Beijing, China., Qi Y; Beijing Institute of Graphic Communication, Beijing, China., Yu L; Beijing Institute of Graphic Communication, Beijing, China., Li W; State Key Laboratory of Networking and Switching Technology (Beijing University of Posts and Telecommunications), Beijing, China., Xia H; Zhejiang Institute of Mechanical and Electrical Engineering Co.Ltd, Hangzhou, China.
Source: PloS one [PLoS One] 2025 Nov 07; Vol. 20 (11), pp. e0331011. Date of Electronic Publication: 2025 Nov 07 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Novel dual convolution adaptive focus neural network for book genre classification.
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  Data: <searchLink fieldCode="AU" term="%22Zeng+Q%22">Zeng Q</searchLink>; Beijing Institute of Graphic Communication, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Zhang+L%22">Zhang L</searchLink>; Beijing Institute of Graphic Communication, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Zhao+J%22">Zhao J</searchLink>; Beijing Institute of Graphic Communication, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Xu+A%22">Xu A</searchLink>; College of Acupuncture-Moxibustion and Tuina, Beijing University of Chinese Medicine, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Qi+Y%22">Qi Y</searchLink>; Beijing Institute of Graphic Communication, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Yu+L%22">Yu L</searchLink>; Beijing Institute of Graphic Communication, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Li+W%22">Li W</searchLink>; State Key Laboratory of Networking and Switching Technology (Beijing University of Posts and Telecommunications), Beijing, China.<br /><searchLink fieldCode="AU" term="%22Xia+H%22">Xia H</searchLink>; Zhejiang Institute of Mechanical and Electrical Engineering Co.Ltd, Hangzhou, China.
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  Data: <searchLink fieldCode="JN" term="%22101285081%22">PloS one</searchLink> [PLoS One] 2025 Nov 07; Vol. 20 (11), pp. e0331011. <i>Date of Electronic Publication: </i>2025 Nov 07 (<i>Print Publication: </i>2025).
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        Value: 10.1371/journal.pone.0331011
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              Text: 2025 Nov 07
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