Special Issue: Intelligent Methods for Internet of Things

Selected Papers from ICEA 2020: 2020 International Conference on Intelligent Computing and its Emerging Applications

Theme and Scope

Several successful applications have witnessed the unlimited possibilities of artificial intelligence (AI) in recent years. Although most companies are still at the development stage of applying AI technologies to their products, most people know that no one can resist the tendency toward AI technologies. Another promising research topic is the internet of things (IoT). Since the basic idea of IoT is to connect all the things to internet so that all the electronic equipments and appliances can then be controlled by a smart information system. It is also not hard to imagine that modern information systems make it possible for all the equipments and appliances providing us all the services we need.

AI and IoT play the role of providing us applications that we need and are useful today. These two technologies are also referred to as the artificial intelligence of things (AIoT) where AI and IoT can be regarded as the software and hardware parts of such new information systems.  This explains why the integration of these two technologies should be discussed, analyzed, and modeled to provide better services to us.  As we know, several smart and/or intelligent methods, analytical systems, as well as security and privacy technologies have attracted the attention of researchers from a variety of disciplines. How to develop an efficient or effective method or hardware has become a promising research direction in recent years.

The focus of this special issue is on all the latest technologies related to AI, IoT, and relevant technologies for the systems of IoT or AIoT. Original submissions, not under any concurrent reviews, are solicited in all areas related to AI, IoT, data analytics, and security. Authors are encouraged to submit both theoretical and practical articles to this special issue. The topics include, but not limited to, the following:

The thematic background for this special issue includes but are not confined to the following:

  • Artificial intelligence for internet of things
  • Data analytics technologies for internet of things  
  • Security or privacy technologies for internet of things   
  • Network modeling and framework   
  • Cloud computing technologies for IoT
  • Applications of IoT and AIoT

Instructions for Manuscripts

Each paper, written in English, the maximum words number in each paper should be below 8,000 words, including references and illustrations. More information can be found at http://jit.ndhu.edu.tw. Before submission authors should carefully read over the journal’s Author Guidelines, which are located at https://jit.ndhu.edu.tw/about/submissions#authorGuidelines.

Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at https://mc04.manuscriptcentral.com/internet-tech. When submitting papers, authors should specify that the manuscript is for Special Issue on “Intelligent Methods for Internet of Things”. The manuscript template can be found at https://jit.ndhu.edu.tw/about/submissions#authorGuidelines

Important dates

Manuscript Submission Deadline: July 31, 2021

Notification of Acceptance/Rejection/Revision: September 30, 2021

Revised Manuscript DueNovember 30, 2021

Final Manuscript Due: January 22, 2022

Tentative Publication Date: the 2nd or 3rd Quarter in 2022

Guest Editors

Dr. Hsin-Te Wu (Lead Guest Editor)

Department of Computer Science and Information Engineering, National Ilan University, Taiwan

E-mail: hsinte@niu.edu.tw

Dr. Hsin-Hung Cho

Department of Computer Science and Information Engineering, National Ilan University, Taiwan

E-mail: hhcho@niu.edu.tw

Dr. Chun-Wei Tsai

Department of Computer Science and Engineering, National Sun Yat-sen University, Taiwan

E-mail: cwtsai@mail.cse.nsysu.edu.tw

Dr. Ming-Chao Chiang

Department of Computer Science and Engineering, National Sun Yat-sen University, Taiwan

E-mail: mcchiang@mail.cse.nsysu.edu.tw