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Call For Papers

The ICTSASM 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 Probability Theory, encouraging applied research, case studies, and industry-driven innovations.

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

  • Time series forecasting techniques
  • Stochastic modeling of time-dependent data
  • Applications in financial time series analysis
  • Seasonal patterns in time series data
  • Statistical methods for time series analysis
  • ARIMA models and their applications
  • Longitudinal data analysis techniques
  • Nonlinear time series modeling approaches
  • Time series analysis in environmental studies
  • Machine learning for time series prediction
  • Causal inference in time series data
  • Time series analysis in healthcare
  • Multivariate time series modeling techniques
  • Applications in signal processing
  • Real-time analysis of streaming data
  • Time series anomaly detection methods
  • Bayesian approaches to time series
  • Time series analysis in social sciences
  • Forecasting with exogenous variables
  • Applications in supply chain management

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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