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Call For Papers

The ICASPDA 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 Applied Mathematics, Mathematical Modeling, encouraging applied research, case studies, and industry-driven innovations.

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

  • Statistical methods in data analytics
  • Applications of probability theory in statistics
  • Data visualization techniques in analytics
  • Machine learning algorithms for data analysis
  • Statistical modeling of big data
  • Bayesian statistics and applications
  • Data mining techniques in applied statistics
  • Statistical quality control methods
  • Applications of time series analysis
  • Multivariate statistics in data analytics
  • Statistical inference and hypothesis testing
  • Applications of regression analysis
  • Statistical methods for experimental design
  • Data analytics in healthcare applications
  • Statistical modeling of social phenomena
  • Applications of nonparametric statistics
  • Statistical methods for survey data analysis
  • Predictive analytics in business intelligence
  • Statistical challenges in data science
  • Applications of statistical learning theory

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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