Call For Papers
The ICDMSIEH 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:
- Data mining for structural health monitoring
- Predictive modeling for structural integrity
- Machine learning in civil engineering applications
- Big data challenges in structural engineering
- Data-driven approaches to building safety
- Sensor technologies for structural assessment
- Data visualization in structural engineering
- Artificial intelligence for structural design
- Data mining for material performance analysis
- Statistical methods in structural engineering research
- Data mining for earthquake-resistant structures
- Integration of IoT in structural monitoring
- Data management for construction projects
- Data mining for infrastructure resilience
- Cybersecurity in structural health data systems
- Data-driven decision making in construction
- Trends in structural engineering data analytics
- Data mining for bridge health assessment
- Real-time data analysis for structural safety
- Data mining for retrofitting strategies
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.