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Call For Papers

The ICSL-CI bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on Computational Science,Data Science, encouraging applied research, case studies, and industry-driven innovations.

Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Statistical learning techniques in big data
  • Computational intelligence applications in AI
  • Machine learning for predictive modeling
  • Data mining techniques for knowledge discovery
  • Statistical methods for data analysis
  • Challenges in statistical learning research
  • Real-time analytics in computational intelligence
  • AI applications in healthcare analytics
  • Ethics in statistical learning practices
  • Future trends in computational intelligence
  • Collaborative approaches in statistical research
  • Data visualization techniques in analytics
  • Machine learning for anomaly detection
  • Predictive analytics in social sciences
  • Statistical modeling for financial forecasting
  • Impact of AI on statistical methodologies
  • Interdisciplinary research in computational intelligence
  • Statistical learning for environmental studies
  • AI-driven decision support systems
  • Applications of statistical learning in education

Evaluation

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in relevant journals and proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.

Submit Your Paper Now Confirm Your Participation Today
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