IEEE Intelligent Systems (IIS)

IEEE Intelligent Systems serves users, managers, developers, researchers, and purchasers who are interested in intelligent systems and artificial intelligence, with particular emphasis on applications. Typically they are degreed professionals, with backgrounds in engineering, hard science, or business. The publication emphasizes current practice and experience, together with promising new ideas that are likely to be used in the near future. Sample topic areas for feature articles include knowledge-based systems, intelligent software agents, natural-language processing, technologies for knowledge management, machine learning, data mining, adaptive and intelligent robotics, knowledge-intensive processing on the Web, and social issues relevant to intelligent systems. Also encouraged are application features, covering practice at one or more companies or laboratories; full-length product stories (which require refereeing by at least three reviewers); tutorials; surveys; and case studies. Often issues are theme-based and collect articles around a contemporary topic under the auspices of a Guest Editor working with the EIC.

IEEE Intelligent Systems (IIS) is :-

• International, Peer-Reviewed, Open Access, Refereed, Artificial Intelligence, Control and Systems Engineering, Electrical and Electronic Engineering, It publishes cutting‑edge research, survey articles, and insights on AI methodologies, expert systems, machine learning, autonomous systems, knowledge representation, reasoning, related areas of computing and decision support, Machine learning and knowledge‑based systems , Online or Print , Bi-Monthly Journal

• UGC Approved, ISSN Approved: P-ISSN P-ISSN: 1541-1672, E-ISSN: 1941-1294, Established: 1986, Impact Factor: 6.3
• Does Not Provide Crossref DOI

• Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE