Conference Description:

ICNGN 2023 will take place in Hangzhou, China, in November 17-18,2023.

ICNGN 2023 will feature, a full programme of technical papers, as well as many intelligent computing and next generation networks-related events of interest for researchers, students and industry professionals.
The conference aims to bring together academic and industrial professionals in the field of intelligent computing and next generation networks, and to promote scientific cooperation and exchanges within each other and promote the progress of technology and scientific research in the field.

ICNGN’23 will have all sessions in a single track. The following sessions are planned:
? Invited keynotes and panels
? Presentation of accepted papers
? Poster presentations
ICNGN as an official conference supported by IEEE, ICNGN 2023 has been listed on the official website of IEEE with the ID 59831: https://conferences.ieee.org/conferences _events/conferences/conferencedetails/59 831
All accepted papers after proper registration and presentation will be included in ICNGN Conference Proceedings which will be submitted to IEEE Xplore. The proceedings will be reviewed by the IEEE Conference Publication Program for IEEE Xplore, Ei Compendex and Scopus.
We are soliciting original papers describing the state-of-the-art research and development in the areas of intelligent computing and next generation networks.
Looking forward to seeing you in Hangzhou, China!
Stay tuned for more Information!

Publication
Accepted and presented papers will be submitted to the indexing companies for possible indexing, such as EI compendex, Scopus, etc. Meanwhile, the proceedings of the conference will be submitted for inclusion in IEEE Xplore and the CSDL. But please note, Indexing services are independent organizations, and CPS cannot guarantee that any particular abstract or index entry will be included in EI Compendex or any other indexing service.

Topics (not limited to)
T1: Next Generation Networks
T2: Next Generation Communications System
T3: Computing methodologies for machine intelligence
T4: Computational technology achieved through AI-based methodologies
T5: Scientific findings achieved through machine intelligence, data, and computing methodologies
For more topics, please click https://icngn.org/call-for-paper/index.h tm.