Journal of Intelligent Learning Systems and Applications

The Journal of Intelligence Learning Systems and Applications (JILSA) is a peer reviewed international journal with a key objective to provide the academic and industrial community a medium for presenting original cutting-edge research related to intelligent learning systems and their applications. JILSA invites authors to submit their original and unpublished work that communicates current research on intelligent learning systems both in the theoretical and methodological aspects, as well as various applications in real-world applications.

Original theoretical or empirical papers showing significant contribution in the above areas are invited. Papers showing the successful real-world applications on intelligent learning systems are especially encouraged.

JILSA publishes three types of articles: regular papers, review papers and brief papers. Review management is primarily under the direction of an associate editor, who will solicit reviews for each submission. The associate editor will ordinarily make a recommendation after receiving three independent reviews. To avoid delays in processing your paper, please follow these guidelines.

JILSA will try to make a rapid and rigorous reviewing process for all submitted papers. Normally, authors can get the reviewing results and decisions within 12 weeks after the submission.