• Home
  • Call for Paper

Call for Paper

The ICDMAES emphasizes interdisciplinary collaboration by bringing together experts from diverse fields. It encourages research that integrates multiple perspectives to address complex global challenges.

Key areas such as Image Processing are explored to promote cross-domain knowledge exchange and collaborative innovation.

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

01
Data mining techniques in image analytics
02
Image analytics for engineering solutions
03
Big data applications in image processing
04
Machine learning for image analysis
05
Predictive analytics in engineering images
06
Data-driven decision making in engineering
07
Image classification and recognition
08
Feature extraction in image data
09
Data visualization techniques for images
10
Real-time data mining in engineering
11
Image analytics for quality assurance
12
Deep learning in image analytics
13
Data mining for industrial applications
14
Image segmentation techniques
15
Data mining in remote sensing
16
Automated image analysis systems
17
Image analytics for smart manufacturing
18
Data mining for environmental engineering
19
Challenges in image data mining
20
Future trends in image analytics

All submissions will undergo peer review to ensure quality and interdisciplinary relevance.

Accepted papers will be presented and considered for publication in journals and conference proceedings.

Registration

Registering for the conference provides access to keynote sessions, technical presentations, and networking opportunities with global experts.

👉 Register Now

Publication

Publishing through the conference enhances the visibility of your research and connects your work with a broader academic audience.

👉 Submit Your Research Work

Event Highlights

  • Keynote sessions by experienced speakers
  • Technical paper presentations across multiple topics
  • Opportunities for academic and professional networking
  • Discussions on current research developments

Contact Us

    Have questions about submission, registration, or publication? We’re happy to help.

  • Email: [email protected]
  • Phone:+91 9940952512

We look forward to your participation and contribution to the ASPHER Conference.