Call For Papers
The ICEAIE 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 Science, 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:
- Explainable AI techniques in engineering
- Transparency in machine learning models
- Data-driven decision making with AI
- User trust in AI systems
- Ethical considerations in AI applications
- Real-world applications of explainable AI
- Impact of explainability on engineering outcomes
- Data visualization for AI insights
- Collaborative AI systems in engineering
- Future trends in explainable AI
- Data management for AI transparency
- User engagement through explainable AI
- Explainability in predictive maintenance
- NLP applications for explainable AI
- Data ethics in AI engineering applications
- Case studies of explainable AI in practice
- Integration of explainable AI in workflows
- Data-driven insights for AI model improvement
- User experience enhancements through explainability
- Challenges in implementing explainable AI
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.