Scope of Submission
We welcome submissions from a broad range of disciplines, including but not limited to:
- Smart manufacturing technologies and innovations
- Data mining techniques for manufacturing processes
- IoT applications in smart manufacturing
- Predictive maintenance using data analytics
- Quality control through data-driven methods
- Supply chain optimization with data mining
- Machine learning in production efficiency
- Big data analytics in smart factories
- Sustainable practices in manufacturing
- Real-time data processing in manufacturing
- Automation and robotics in smart manufacturing
- Data visualization for manufacturing insights
- Cybersecurity challenges in smart manufacturing
- Integration of AI in manufacturing systems
- Human factors in smart manufacturing environments
- Digital twins and their applications
- Energy efficiency through data mining
- Collaborative robots and data analytics
- Data-driven decision making in manufacturing
- Future trends in smart manufacturing
All papers must be original and not previously published or submitted elsewhere.
