HYBRID EVENT: You can participate in person at Adelaide, Australia or Virtually from your home or work

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Call For Papers

The ICTSAML 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 Machine Learning, 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 with machine learning
  • Anomaly detection in time series data
  • Applications of time series analysis
  • Feature extraction techniques for time series
  • Real-time time series processing methods
  • Seasonal decomposition of time series
  • Machine learning for financial time series
  • Time series data visualization techniques
  • Predictive modeling for time series data
  • Challenges in time series forecasting
  • Time series classification methods
  • Machine learning for sensor time series
  • Temporal data mining techniques
  • Time series analysis in healthcare
  • Machine learning for climate data
  • Data preprocessing for time series analysis
  • Future trends in time series research
  • Machine learning for energy time series
  • Time series data integration methods
  • Collaborative time series analysis

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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