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Call For Papers

The ICIPML 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 Machine Learning, encouraging applied research, case studies, and industry-driven innovations.

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

  • Deep learning techniques for image processing
  • Image classification using machine learning
  • Object detection algorithms in images
  • Image segmentation methods and applications
  • Transfer learning for image analysis
  • Generative adversarial networks in imaging
  • Image enhancement using AI techniques
  • Real-time image processing applications
  • Medical image analysis with ML
  • Ethics in image data usage
  • Multimodal image processing approaches
  • 3D image reconstruction using ML
  • Image retrieval systems powered by AI
  • Facial recognition technologies and challenges
  • Image quality assessment using machine learning
  • AI in satellite and aerial imagery
  • Augmented reality applications in imaging
  • Image processing for autonomous vehicles
  • Machine learning in digital forensics
  • Future trends in image processing technologies

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.