(ICMLDME - 26) | Hybrid Event
12th - 13th October 2026 | Jakarta Raya, Indonesia

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International Conference on Machine Learning and Data Mining in Engineering
(ICMLDME - 26)

12th - 13th October 2026 Jakarta Raya, Indonesia (Hybrid Event)

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Call for Paper

The ICMLDME is committed to addressing global challenges through impactful research and sustainable solutions. It brings together researchers dedicated to advancing knowledge for societal benefit. Focusing on Data Mining, the conference promotes research aligned with global development goals and long-term sustainability. Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Machine learning algorithms for engineering applications
  • Data mining techniques in structural engineering
  • Predictive analytics for engineering design
  • Big data challenges in engineering fields
  • AI applications in engineering problem solving
  • Data-driven optimization in engineering processes
  • Statistical methods for engineering data analysis
  • Machine learning for materials engineering
  • Engineering data visualization techniques
  • Real-time data processing in engineering
  • Data mining for fault detection in engineering
  • Integration of IoT in engineering analytics
  • Sustainability metrics in engineering projects
  • Data mining for risk assessment in engineering
  • Collaborative engineering through data sharing
  • Machine learning for energy systems
  • Data-driven innovation in engineering education
  • Ethics in machine learning applications
  • Future of data mining in engineering
  • Case studies of successful data mining
Review & Publication

All submissions will be reviewed for their contribution to global impact and research quality. Accepted papers will be presented and considered for publication in reputed platforms.

Registration

Join participants from around the world by completing your registration and becoming part of a global research community.

Publication

Accepted papers will gain international exposure through conference presentations and publication opportunities.

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