in conjunction with MSN 2023,Nanjing, China on 14-16, December ,2023
The rapid development of the Internet of Things (IoTs) has posed many complex problems that are difficult to solve with traditional techniques/algorithms. Recently, the explosive progress in artificial intelligence, especially machine learning, has provided new dimensions to design and develop learning-based solutions for many IoT problems. This workshop provides a forum for academic researchers and industry practitioners to exchange the most recent progress in artificial intelligence applications in the Internet of Things.
The workshop solicits submissions from areas relating to applications of artificial intelligence algorithms/approaches to solve problems in the IoT area, including AI-driven IoT applications and solutions for all related fields. The interested topics include but are not limited to:
Submitted manuscripts must be prepared according to IEEE Computer Society Proceedings Format (double column, 10pt font, letter paper) and submitted in PDF file format. The manuscript should be no longer than 6 pages and at least 4 pages. Submitted manuscripts must not contain previously published material or be under consideration for publication in another conference or journal. https://www.ieee.org/conferences/publishing/templates.html.
Please submit your paper in the Easychair system by using the below URL: https://easychair.org/conferences/?conf=msn2023
When submitting you paper, please select the "2nd International Workshop on Artificial Intelligence Applications in Internet of Things (AI2OT)" track.
Accepted papers will be included in the conference proceedings and published in the IEEE Xplore digital library (indexed by EI). At least one author of any accepted paper must register and present the paper at the conference.
Paper Submission Due
Author Notification
Camera-Ready Due
Hunan University, Changsha, China
Nanjing University of Aeronautics and Astronautics, China
Yalong Xiao
Central South University, China
Hui CHENG
University of Leicester, UK
Haodong Wang
Cleveland State University Cleveland, USA
Yanling Bu
Nanjing University of Aeronautics and Astronautics
Bo Ding
National University of Defense Technology, China
Yingpei Zeng
Hangzhou Dianzi University, China
Xiaobing Wu
University of Canterbury, New Zealand
Zhuo Li
Beijing Information Science & Technology University
Mingming Lu
Central South University, China
Bin Fu
Hunan University, China
Copyright ?2023 International Conference on Mobility, Sensing and Networking