An optimized lightweight real-time detection network model for IoT embedded devices.
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| Title: | An optimized lightweight real-time detection network model for IoT embedded devices. |
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| Authors: | Chen R; School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou, 510665, China.; Guangdong Provincial Key Laboratory of Intellectual Property and Big Data, Guangdong Polytechnic Normal University, Guangzhou, 510665, China., Wang P; School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou, 510665, China., Lin B; School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou, 510665, China., Wang L; School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou, 510665, China., Zeng X; School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou, 510665, China.; Guangdong Provincial Key Laboratory of Intellectual Property and Big Data, Guangdong Polytechnic Normal University, Guangzhou, 510665, China.; Guangdong Provincial Key Laboratory of Big Data Computing, The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen), Shenzhen, 518000, China., Hu X; School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou, 510665, China., Yuan J; School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou, 510665, China., Li J; School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou, 510665, China. lijiawen@gpnu.edu.cn., Ren J; School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou, 510665, China. jinchang.ren@ieee.org.; National Subsea Centre, Robert Gordon University, Aberdeen, AB21 0BH, UK. jinchang.ren@ieee.org., Zhao H; School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou, 510665, China. zhaohuimin@gpnu.edu.cn. |
| Source: | Scientific reports [Sci Rep] 2025 Jan 30; Vol. 15 (1), pp. 3839. Date of Electronic Publication: 2025 Jan 30. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE; PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2045-2322 |
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| DOI: | 10.1038/s41598-025-88439-w |
