Intelligent Industrial Systems

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Journal Properties
  • Number of Articles
    69
  • Abbreviation
    Intell Ind Syst
  • ISSN
    2363-6912
  • e-ISSN
    2199-854X
  • Publisher
    Springer Science and Business Media LLC
  • Indian UGC
  • DOAJ (latest)
Description
Intelligent Industrial Systems is a peer-reviewed journal focusing on the integration of artificial intelligence (AI) and advanced computing technologies into industrial applications. The journal presents research on innovative approaches to enhance automation, efficiency, and decision-making in various industrial sectors. It serves as a platform for researchers and practitioners to share their insights on how intelligent systems can revolutionize manufacturing, supply chain management, and other industrial processes. The scope of the journal includes topics such as machine learning, expert systems, data mining, robotics, and sensor networks applied to industrial automation, process optimization, and predictive maintenance. The journal also covers the development and implementation of cyber-physical systems, intelligent control strategies, and smart manufacturing techniques. Target audiences include engineers, computer scientists, researchers, and industry professionals involved in designing, developing, and deploying intelligent systems in industrial settings. With its emphasis on cutting-edge research and practical applications, Intelligent Industrial Systems aims to drive the development and adoption of intelligent technologies for industrial advancement. The journal encourages submissions that address real-world challenges and demonstrate the potential of AI to transform industrial operations, promoting sustainability and economic growth. Indexed in Scopus, among others, ensuring high visibility of published research.