Vol. 11 No. 2s (2023)

The field of engineering is continually evolving, and intelligent systems and applications have emerged as vital components of various engineering disciplines. Intelligent systems leverage advanced technologies like artificial intelligence, machine learning, data analytics, and optimization techniques to enhance efficiency, effectiveness, and decision-making processes in engineering domains. This special issue aims to showcase cutting-edge research and developments in the application of intelligent systems in engineering, providing a platform for researchers and practitioners to share their findings and insights.

Topics of Interest: The special issue invites original research articles, reviews, and case studies in various aspects of intelligent systems and their applications in engineering. Topics of interest include, but are not limited to:

  1. Intelligent control systems in engineering processes and automation.
  2. Machine learning and data-driven approaches for predictive maintenance in industrial settings.
  3. AI-based optimization techniques in engineering design and resource allocation.
  4. Applications of computer vision and image processing in engineering analysis and monitoring.
  5. Intelligent decision support systems for complex engineering problems.
  6. IoT-enabled intelligent systems for smart manufacturing and industrial IoT applications.
  7. Big data analytics for engineering data and operations.
  8. AI applications in civil engineering for infrastructure design, monitoring, and maintenance.
  9. Intelligent systems in renewable energy and sustainable engineering practices.
  10. Robotics and autonomous systems for industrial applications and hazardous environments.
  11. Intelligent transportation systems and traffic management.
  12. AI-driven innovations in healthcare engineering and biomedical applications.
  13. AI and machine learning in process optimization and quality control.
Published: 27.01.2023

Research Article