Hybrid Conference (In Person / Virtual)

International Conference on Predictive Maintenance and Data Mining in Engineering (ICPMDME - 27)
30th - 31st March 2027 , Stockholm, Sweden
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Conference Notifications:

"Be sure to check this section regularly for all IIRD Global Conference updates. We’ll keep you informed about deadlines, event details, and more important notifications."

  • Abstract Submissions Open:
    "We are now accepting abstract submissions for the IIRD Global Conference in Stockholm. Submit your abstract by today to be part of this exciting international event." Call for Abstracts – Submit Now!
  • Paper Submission Guidelines:
    "Please ensure your paper follows the submission guidelines for smooth processing. Visit our paper submission page for more details."
  • Peer Review Process:
    "The peer review process will begin soon. Authors will receive valuable feedback that will help enhance their presentations for the Stockholm conference."
  • Networking with Global Experts:
    "Join global experts at our conference in Stockholm and engage in meaningful conversations. Build relationships that last." Register now to join!
  • Best Paper Presentation Award:
    Dr. Shatha Hawarna from Hamdan Bin Mohammed Smart University received the Best Paper Presentation Award at (ICBAI-25) in Bangkok, Thailand.
  • SDG-Inspired Conference Focus:
    "The conference will explore themes related to sustainability and inclusive development, with an emphasis on research that contributes to global well-being."

Call For Papers

The ICPMDME provides a supportive platform for both experienced researchers and early-career academicians to present their work and gain recognition.

The conference covers diverse topics such as Data Mining, encouraging participation from emerging researchers and fostering academic growth.

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

01
Predictive maintenance strategies in engineering
02
Data mining techniques for maintenance
03
Machine learning for predictive analytics
04
Reliability engineering in predictive maintenance
05
Impact of IoT on maintenance practices
06
Data-driven decision making in engineering
07
Predictive maintenance case studies
08
Challenges in implementing predictive maintenance
09
Integration of AI in maintenance strategies
10
Real-time monitoring for predictive maintenance
11
Cost-benefit analysis of predictive maintenance
12
Collaborative approaches to maintenance solutions
13
Future trends in predictive maintenance
14
User experience in maintenance applications
15
Data visualization for predictive maintenance
16
Maintenance optimization in engineering systems
17
Ethical considerations in predictive analytics
18
Impact of predictive maintenance on safety
19
Best practices in data mining for maintenance
20
Predictive maintenance for smart systems

Assessment

Submissions will be reviewed to ensure quality and relevance, with a focus on encouraging emerging research contributions. Accepted papers will be presented and considered for publication opportunities.

Registration

Early-career researchers are encouraged to register and present their work, gaining valuable feedback and academic exposure.

Publication

The conference provides opportunities for emerging researchers to publish their work in recognized platforms.

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