Hangzhou, Zhejiang, China
December 20-22, 2024
cait_conference@163.com
2024 5th International Conference on Computers and Artificial Intelligence Technology (CAIT 2024)
Key Dates
Abstract & Paper Submission Deadline | November 15, 2024 |
Notification Deadline | For Abstract and Presentation: within Five Working days |
For Full paper and Publication: November 25, 2024 | |
Registration Deadline | November 28, 2024 |
Camera Ready | November 30, 2024 |
Computers and Artificial Intelligence Technologies is a rapidly growing field that encompasses the study and application of computer science and artificial intelligence. As technology advances, the integration of computing and artificial intelligence has become increasingly important across a wide range of industries, including finance, healthcare, manufacturing, and transportation. The development of advanced algorithms, machine learning techniques, and natural language processing has revolutionized the way we interact with technology and opened up new possibilities for automation, prediction, and optimization.
2024 5th International Conference on Computers and Artificial Intelligence Technology (CAIT)
will be held from December 20-22, 2024 in
Hangzhou, Zhejiang, China.
The conference is sponsored by IEEE, Zhejiang A&F University,
hosted by College of Mathematics and Computer Science, Zhejiang
A&F University, and patrons with Macau University of Science and
Technology, Beijing University of Posts
and Telecommunications, Guangxi University, Inner Mongolia
University of Technology, SIIT, and other patrons.
As the field of Computers and Artificial Intelligence Technologies continues to evolve, the aim of the CAIT 2024 is to bring together leading researchers, practitioners, and industry experts to share knowledge, exchange ideas, and explore the latest trends and developments in this exciting and dynamic field. The conference provides a platform for attendees to learn about new advancements in the field, engage in discussions with peers, and establish new collaborations to further advance the field.
Welcome to CAIT 2024 Hangzhou. May you have an excellent time on the conference.
Submitted Papers to the conference will be subjected to the rigorous
peer-review process. For accepted papers, it will be published in
the IEEE Conference Proceedings,
included in IEEE Xplore, indexed by EI Compendex and SCOPUS.
CAIT 2024 is listed in IEEE Conference Calendar. (Check)
CAIT 2023 - IEEE proceedings ISBN: 979-8-3503-2670-3 | Online and IEEE Xplore | EI Compendex and SCOPUS.
CAIT 2022 - IEEE proceedings ISBN: 979-8-3503-9665-2 | Online and IEEE Xplore | EI Compendex and SCOPUS.
Track 1-Computer Vision and Its Applications
Chairs: Yongjun Zhang, Guizhou University, China; Wenting Li,
Guizhou University of Commerce, China & Nangyang Technological
University, Singapore.
Track 2-AI/ML-driven Communications and Networking
Chairs: Wei Wang, Beijing University of Posts and
Telecommunications, China; Liyazhou Hu, Shenzhen Polytechnic
University, China.
Track 3-Digital Economy-Oriented Artificial Intelligence
Chair: Di Han, Guangdong University of Finance, China.
Track 4-Artificial Intelligence Technology for Energy Security
Chair: Hongfei Guo, Inner Mongol University of Technology,
China.
Track 5-Knowledge
Representation and Reasoning in AI with Applications in Biomedicine
Chairs: Jingjing Song, Jiangsu University of Science and
Technology, China; Wei Qu, China Jiliang University, China.
Track 6-Deep Learning Methods in Biometrics
Chair: Xueyuan Gong, Jinan University, China.
Track 7-The Application of Medical and Healthcare
Chairs: Shihua Cao, Hangzhou Normal University, China; Ning
Deng, Zhejiang University, China
Track 8-Intelligent Software Engineering
Chairs: Rubing Huang, Macau University of Science and
Technology, China; Jinyu Tian, Macau University of Science and
Technology, China.
Track 9-AI-based Optimization in Cloud-Edge IoT Networks
Chair: Jianxiong Guo, Beijing Normal University, China.
Track 10-AI for Next Generation Intelligent Services
Chairs: Wei Wang, Shenzhen MSU-BIT University, China; Arun
Kumar Sangaiah, National Yunlin University of Science and
Technology, Taiwan, China; Thippa Reddy Gadekallu, Lovely
Professional University, India.
Track 11-Security and
Privacy for Large Language Models (LLMs)
Chair: Guang Chen, Beijing University of Posts and
Telecommunications, China.
Track 12-Multimodal Models and Applications
Chairs: Shuxue Ding, Guilin University of Electronic
Technology, China; Xiangjian He, University of Nottingham
Ningbo China, China.
Track 13-Smart Forestry
Chairs: Hailin Feng, Zhejiang A&F University, China; Kai
Fang, Zhejiang A&F University, China.
Track 14-Artificial Intelligence in Medical Image Analysis
Chairs: Zhen Wang, Huizhou
University, China; Zhen Zhang, Huizhou University, China
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