On-location / Digital Conference

International Conference on Data Mining and Image Analytics for Engineering Solutions (ICDMAES-27)

23rd - 24th Feb 2027,Dublin, Ireland

In Association With:

Call for Paper


Important Dates


Early Bird Registration

24th Jan 2027

Paper Submission Deadline

29th January 2027

Registration Deadline

8th February 2027

Conference Date

23rd - 24th Feb 2027

Conference Updates:

"Stay updated with Science Cite Conference news."

  • Early-Bird Registration Reminder:
    Early-bird registration for the Science Cite Conference in Dublin ends soon! Register Now!
  • Certificate of Presentation – Recognizing Your Contribution:
    Receive a Certificate of Presentation to recognize your participation in Dublin conference.
  • Peer Review Process:
    The peer review process will begin soon for Dublin conference.
  • Networking with Global Experts:
    Join global experts at our conference in Dublin.
  • Opportunity for Scopus-Indexed Journal Publication:
    Your research could be published in a Scopus-Indexed Journal. Submit Your Abstract
  • SDG-Inspired Conference Focus:
    Present your work aligned with Sustainable Development Goals.

Call For Papers

The ICDMAES 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 Data Mining and Image Analytics for Engineering Solutions, encouraging applied research, case studies, and industry-driven innovations.

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

  • Data mining techniques in image analytics
  • Image analytics for engineering solutions
  • Big data applications in image processing
  • Machine learning for image analysis
  • Predictive analytics in engineering images
  • Data-driven decision making in engineering
  • Image classification and recognition
  • Feature extraction in image data
  • Data visualization techniques for images
  • Real-time data mining in engineering
  • Image analytics for quality assurance
  • Deep learning in image analytics
  • Data mining for industrial applications
  • Image segmentation techniques
  • Data mining in remote sensing
  • Automated image analysis systems
  • Image analytics for smart manufacturing
  • Data mining for environmental engineering
  • Challenges in image data mining
  • Future trends in image analytics

Assessment

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.

Indexed / Supported By

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Academic Institutions Whose Scholars Have Contributed

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