Hybrid Conferencee

International Conference on Data Mining in Mechanical Engineering Systems (ICDMMES - 26)

9th - 10th October 2026 | Antwerp, Belgium

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Conference Notifications:

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Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Antwerp. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Antwerp event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Antwerp conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Antwerp, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Antwerp."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICDMMES aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.

The conference highlights advancements in Data Mining, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.

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

01
Data mining in mechanical engineering systems
02
Predictive maintenance using data mining
03
Data mining for performance optimization
04
Machine learning applications in mechanical systems
05
Data mining for fault diagnosis in machinery
06
Data-driven design in mechanical engineering
07
Data mining for energy efficiency in systems
08
Real-time monitoring of mechanical systems
09
Data mining for reliability engineering
10
Data mining for process improvement in manufacturing
11
Data mining for supply chain management
12
Data mining for product lifecycle management
13
Data mining for safety in mechanical systems
14
Data mining for innovation in mechanical design
15
Data mining for cost reduction in manufacturing
16
Future trends in mechanical engineering data mining
17
Data mining for quality assurance in production
18
Data mining for customer feedback analysis
19
Data mining for regulatory compliance in manufacturing
20
Case studies of data mining in mechanical engineering