(ICEDMFD - 26) | Hybrid Event
6th - 7th July 2026 | Izmir, Turkey

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International Conference on Engineering Data Mining for Fault Detection
(ICEDMFD - 26)

6th - 7th July 2026 Izmir, Turkey (Hybrid Event)

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Call for Paper

The ICEDMFD 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:

  • Data mining for fault detection in engineering
  • Predictive analytics for fault diagnosis
  • Data mining techniques for system reliability
  • Machine learning for fault prediction
  • Data mining for anomaly detection in systems
  • Data-driven maintenance strategies in engineering
  • Data mining for safety improvements in systems
  • Real-time fault detection using data mining
  • Data mining for operational efficiency
  • Data mining for risk assessment in engineering
  • Data mining for equipment performance analysis
  • Data mining for process optimization in maintenance
  • Data mining for root cause analysis
  • Data mining for predictive maintenance scheduling
  • Data mining for quality control in fault detection
  • Future trends in fault detection technologies
  • Data mining for system diagnostics
  • Data mining for performance monitoring
  • Data mining for regulatory compliance in fault detection
  • Case studies of successful fault detection
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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