Information

  • Home
  • Call for Paper

Call For Papers

The ICVPRAI bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on Vision Engineering, encouraging applied research, case studies, and industry-driven innovations.

Authors are invited to submit papers addressing, but not limited to, the following areas:

  • AI techniques for visual pattern recognition
  • Deep learning in image classification tasks
  • Visual pattern recognition in medical imaging
  • Applications of AI in facial recognition
  • Pattern recognition in remote sensing data
  • Challenges in visual pattern analysis
  • AI-driven visual data interpretation methods
  • Pattern recognition for security applications
  • Visual pattern recognition in robotics
  • Real-time visual pattern detection systems
  • AI methods for image segmentation
  • Visual pattern recognition in video analysis
  • Neural networks for visual pattern learning
  • Applications of visual pattern recognition in art
  • Visual pattern recognition in social media
  • Data-driven approaches to visual recognition
  • Ethics of AI in visual recognition
  • Visual pattern recognition in autonomous systems
  • Future trends in AI and pattern recognition
  • Case studies in visual pattern recognition

Evaluation

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in relevant journals and proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.