Call For Papers
The ICDLACSC 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 Computational Science, 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:
- Deep learning applications in computational science
- AI techniques for scientific modeling
- Neural networks in data analysis
- Impact of deep learning on research
- Data-driven discovery in computational science
- Challenges in deep learning applications
- Interdisciplinary approaches to AI in science
- Ethics of AI in scientific research
- Real-world applications of deep learning
- Visualization techniques for deep learning models
- Transfer learning in scientific applications
- Deep learning for predictive modeling
- Case studies of AI in science
- Future trends in AI and science
- Data preprocessing for deep learning
- Optimization techniques for neural networks
- AI-driven tools for scientific research
- Collaborative AI in scientific projects
- Deep learning for complex systems modeling
- Role of deep learning in healthcare
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.