Call for Paper

Prospective authors are invited to submit 4-page, original, and unpublished full papers in English using a manuscripts template for IEEE conference proceedings. Papers presented at the conference will be published in the proceedings of IEEE CEI 2021 and submitted for inclusion in the IEEE Xplore Digital Library.

The conference covers all aspects of technologies, applications, and services. The topics of interest are not limited to:

Topics of interest

Submission requirement: 4-page at least.

Additional page charges in the amount of CNY400 per additional page at the time of registration and final paper submission.

Paper submission is open: https://www.ais.cn/attendees/paperSubmit/U2QEYN

Apply Special Session

Intelligent Systems and Applications

Session description

As intelligent systems become more widely applied in many fields, users and the public are becoming increasingly concerned with this issue. Intelligent Systems including data mining, machine learning, deep learning, fuzzy theory, evolutionary algorithms, swarm intelligence, and their hybridization, have emerged as the paradigms of choice for Intelligent System and Applications. This Special Issue provides a platform for academics, developers, and industry-related researchers belonging to the vast communities of Neural Networks, Computational Intelligence, Machine Learning, Deep Learning, and Fuzzy System. The objective is to integrate interdisciplinary studies and research, applying Intelligent Systems and Applications to benefit society. We invite investigators to contribute original research articles as well as review articles on Intelligent System and Applications from fundamental aspects to practical applications related to various disciplines. To investigate novel mathematical methods, applications, and future research of this field, it can benefit the mathematicians, computer scientists and engineers. Potential topics include, but are not limited to:

•Intelligent System and Its Application

•Machine Learning and Its Application

•Neural Networks and Its Application

•Data Mining and Its Application

•Deep Learning and Its Application

•Fuzzy Theory and Its Application

•Evolutionary Computing and Its Application

•Others

Zne-Jung Lee received the Ph.D. degree in electrical engineering from National Taiwan University of Science and Technology (NTUST), Taipei, Taiwan, in 2002. He is a full professor with the Department of Information Technology, and Deputy Dean, School of Technology, Fuzhou University of International Studies and Trade, China. His current research interests include intelligent systems, big data, data mining, computational intelligence and information security.