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MLA

Zhang, Hongjuan. "Construction of a Research Model for Overseas Dissemination of Chinese Literature Based on Deep Learning Models." IJDST vol.16, no.1 2025: pp.1-17. https://doi.org/10.4018/IJDST.375389

APA

Zhang, H. (2025). Construction of a Research Model for Overseas Dissemination of Chinese Literature Based on Deep Learning Models. International Journal of Distributed Systems and Technologies (IJDST), 16(1), 1-17. https://doi.org/10.4018/IJDST.375389

Chicago

Zhang, Hongjuan. "Construction of a Research Model for Overseas Dissemination of Chinese Literature Based on Deep Learning Models," International Journal of Distributed Systems and Technologies (IJDST) 16, no.1: 1-17. https://doi.org/10.4018/IJDST.375389

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Construction of a Research Model for Overseas Dissemination of Chinese Literature Based on Deep Learning Models

International Journal of Distributed Systems and Technologies (IJDST)

The International Journal of Distributed Systems and Technologies (IJDST) focuses on integration techniques, methods, and tools employed in applied distributed computing systems, architectures, and technologies. IJDST pays particular attention to this dimension as a means of diversifying and broadening the applicability and scope of knowledge in the area of distributed systems and technologies. This journal is dedicated to push developmental boundaries and publish cutting-edge developments related to science-to-science, science-to-business, business-to-business, business-to-customer, and customer-to-customer interactions.Topics covered by IJDST include but are not limited to the heterogeneity and autonomy of Internet, Web, peer-to-peer, service oriented, grid, next generation grid, next generation technologies and other distributed systems paradigms and concepts; algorithms, software, application, services and technologies integration methods; process, resource, service and data virtualization, sharing, and integration; process, resource, service and resource flow management; scheduling; aspects of quality provision, policies; trust, identity management, forensics and security; application developments centered on the integration and management of various (e-) science-to-science, science-to-business, business-to-business, business-to-customer, and customer-to-customer models.


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