Call for Paper
The ICIADSM is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.
With a strong focus on Artificial Intelligence,Data Science,Machine Learning the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.
Authors are invited to submit papers addressing, but not limited to, the following areas:
- AI applications in smart manufacturing
- Data analytics for production optimization
- Machine learning for predictive maintenance
- Challenges in data integration for manufacturing
- AI-driven quality assurance techniques
- Real-time data processing in manufacturing
- Ethics of AI in manufacturing practices
- Collaborative robots in smart factories
- Data visualization for manufacturing insights
- AI for supply chain integration in manufacturing
- Future trends in smart manufacturing technologies
- AI applications in inventory management
- Data-driven decision making in manufacturing
- Machine learning for process optimization
- AI for enhancing workforce productivity
- Impact of IoT on smart manufacturing
- AI for sustainable manufacturing practices
- Case studies in AI-driven manufacturing
- Reinforcement learning in manufacturing processes
- AI for enhancing product design and development
Peer Review & Quality
All submissions will be evaluated through a structured peer-review process to ensure academic rigor and contribution to the field. Accepted papers will be presented and may be considered for publication in high-quality journals and indexed conference proceedings.
Registration
Secure your participation by completing the registration process at the earliest. Limited presentation slots are allocated on a first-come, first-served basis.
Publication
High-quality submissions will be prioritized for publication opportunities in recognized journals and indexed proceedings.