International Conference on Machine Learning and Data Mining in Engineering ICMLDME

Call For Papers

The ICMLDME 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:

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

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