Call For Papers
The ICAESDM 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:
- 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
Assessment
Submissions will be assessed for originality, innovation, and relevance. Accepted papers will be presented at the conference and considered for publication opportunities in reputed academic platforms.
Registration
Participants are requested to complete the registration process following acceptance of their paper. Registration ensures inclusion in the conference schedule and official records.
Publication
All accepted manuscripts will be eligible for publication consideration in conference proceedings and associated academic journals.