International Conference on Predictive Maintenance and Data Mining in Engineering ICPMDME

Call For Papers

The ICPMDME bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on Data Mining , encouraging applied research, case studies, and industry-driven innovations.

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

Predictive maintenance strategies in engineering

Data mining techniques for maintenance

Machine learning for predictive analytics

Reliability engineering in predictive maintenance

Impact of IoT on maintenance practices

Data-driven decision making in engineering

Predictive maintenance case studies

Challenges in implementing predictive maintenance

Integration of AI in maintenance strategies

Real-time monitoring for predictive maintenance

Cost-benefit analysis of predictive maintenance

Collaborative approaches to maintenance solutions

Future trends in predictive maintenance

User experience in maintenance applications

Data visualization for predictive maintenance

Maintenance optimization in engineering systems

Ethical considerations in predictive analytics

Impact of predictive maintenance on safety

Best practices in data mining for maintenance

Predictive maintenance for smart systems

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in reputed journals and conference proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

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Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.

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Hybrid Event