International Conference on Aerospace Engineering and Sensor Data Mining ICAESDM

Call For Papers

The ICAESDM 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:

Sensor data fusion in aerospace applications

Machine learning for aerospace data analysis

Predictive maintenance using sensor data

Data mining for flight safety improvements

Aerospace system performance optimization

Big data challenges in aerospace engineering

Real-time analytics for aerospace systems

Data-driven design in aerospace engineering

IoT applications in aerospace sensor networks

Data mining for aircraft health monitoring

Artificial intelligence in aerospace engineering

Simulation data analysis in aerospace research

Data visualization techniques for aerospace data

Cybersecurity in aerospace data systems

Data mining for space exploration technologies

Autonomous systems and sensor data analysis

Environmental impact assessment using data mining

Data mining for air traffic management

Trends in aerospace engineering data analytics

Integration of machine learning in aerospace

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