Cite Article
Cite Article
MLA
Wu, YiHeng, et al. "YOLO-DCNet: A Semantic-Based Novel Flexible Lightweight Human Detection Algorithm." IJSWIS vol.20, no.1 2024: pp.1-23. http://doi.org/10.4018/IJSWIS.339000
APA
Wu, Y., Dong, J., & Chen, J. (2024). YOLO-DCNet: A Semantic-Based Novel Flexible Lightweight Human Detection Algorithm. International Journal on Semantic Web and Information Systems (IJSWIS), 20 (1), 1-23. http://doi.org/10.4018/IJSWIS.339000
Chicago
Wu, YiHeng, Jiaqiang Dong, and JianXin Chen. "YOLO-DCNet: A Semantic-Based Novel Flexible Lightweight Human Detection Algorithm," International Journal on Semantic Web and Information Systems (IJSWIS) 20, no.1: 1-23. http://doi.org/10.4018/IJSWIS.339000
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International Journal on Semantic Web and Information Systems (IJSWIS) The International Journal on Semantic Web and Information Systems (IJSWIS) promotes a knowledge transfer channel where academics, practitioners, and researchers can discuss, analyze, criticize, synthesize, communicate, elaborate, and simplify the more-than-promising technology of the semantic Web in the context of information systems. The journal aims to establish value-adding knowledge transfer and personal development channels in three distinctive areas: academia, industry, and government.
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