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International Journal of Knowledge-Based and Intelligent Engineering Systems - IOS Press | 2024 Cite Score:2.6 | Q3

International Journal of Knowledge-Based and Intelligent Engineering Systems With Cite Score

Cite Score and Journal Rank of International Journal of Knowledge-Based and Intelligent Engineering Systems

  • About: The International Journal of Knowledge-Based and Intelligent Engineering Systems publishes original research articles, reviews, and case studies on topics such as expert systems, fuzzy logic, neural networks, machine learning, artificial intelligence, and intelligent systems engineering. The journal covers both the theoretical aspects and practical applications of knowledge-based and intelligent engineering systems in various domains.
  • Objective
    The primary objective of the journal is to promote research and innovation in the field of intelligent engineering systems by providing a forum for high-quality research. The journal aims to facilitate the exchange of ideas and foster collaboration among researchers, engineers, and professionals to advance the development of knowledge-based and intelligent systems.
  • Interdisciplinary Approach
    International Journal of Knowledge-Based and Intelligent Engineering Systems adopts an interdisciplinary approach, recognizing that advancements in intelligent systems often require insights from fields such as computer science, engineering, information systems, and artificial intelligence. The journal encourages research that integrates these perspectives to address complex problems and develop innovative solutions in intelligent engineering.
  • Impact and Significance
    The journal has a significant impact on the field of intelligent engineering systems by providing a valuable resource for understanding the latest developments and trends. Its influence is reflected in its ability to shape research directions, drive technological advancements, and contribute to the practical implementation of intelligent systems in various industries.

  • Editor-in-Chief:  Robert J.Howlett

  • Scope: The International Journal of Knowledge-Based and Intelligent Engineering Systems focuses on the integration of knowledge-based systems with intelligent engineering practices. It covers a broad spectrum of topics related to the design, development, and application of intelligent systems that leverage knowledge-based approaches in various engineering fields.
  • Knowledge-Based Systems:
    Theories and methodologies in knowledge representation and reasoning
    Design and implementation of expert systems
    Knowledge management and knowledge discovery
    Ontologies and semantic technologies in engineering systems
    Case studies of knowledge-based systems in practical applications
  • Intelligent Engineering Systems:
    Development of intelligent algorithms for engineering applications
    Use of artificial intelligence in engineering design and optimization
    Intelligent control systems and automation
    Machine learning and data-driven approaches in engineering
    Applications of intelligent systems in industries such as manufacturing, aerospace, and healthcare
  • Integration of Knowledge-Based and Intelligent Systems:
    Approaches to integrating knowledge-based methods with intelligent systems
    Hybrid systems combining rule-based reasoning with machine learning
    Adaptive systems and real-time decision support
    Challenges and solutions in the integration of intelligent technologies
    Practical implementations and case studies of integrated systems
  • Applications and Case Studies:
    Application of knowledge-based and intelligent systems in various engineering disciplines
    Real-world case studies demonstrating system performance and impact
    Innovations in intelligent engineering for complex problem-solving
    Use of intelligent systems in enhancing engineering processes and outcomes
    Evaluation of system effectiveness and lessons learned from implementations
  • Emerging Trends and Research Directions:
    Emerging trends in knowledge-based and intelligent engineering systems
    Predictions for future developments and technological advancements
    Research opportunities and challenges in integrating AI with engineering systems
    Future outlook on the evolution of intelligent systems in engineering
    Directions for future research and innovation in the field
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  • Print ISSN:  1327-2314

    Electronic ISSN:  1875-8827

  • Abstracting and Indexing:  Scopus

  • Imapct Factor :  

  • Subject Area and Category:  Computer Science, Artificial Intelligence, Software, Engineering, Control and Systems Engineering

  • Publication Frequency:  

  • H Index:  25

  • Best Quartile:

    Q1:  

    Q2:  

    Q3:  Control and Systems Engineering

    Q4:  

  • Cite Score:  2.6

  • SNIP:  0.531

  • Journal Rank(SJR):  0.295