Flex Conference (Physical / Digital)

International Conference on Time Series Analysis and Machine Learning (ICTSAML - 27)

Call for Paper

The ICTSAML provides a supportive platform for both experienced researchers and early-career academicians to present their work and gain recognition. The conference covers diverse topics such as Machine Learning encouraging participation from emerging researchers and fostering academic growth.

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

Review & Publication

Submissions will be reviewed to ensure quality and relevance, with a focus on encouraging emerging research contributions. Accepted papers will be presented and considered for publication opportunities.

Registration

Early-career researchers are encouraged to register and present their work, gaining valuable feedback and academic exposure.

Publication

The conference provides opportunities for emerging researchers to publish their work in recognized platforms.

Important Dates

Early Bird Registration :14th December 2026

Paper Submission Deadline :19th December 2026

Last Date of Registration : 29th December 2026

Date of Conference : 13th - 14th January 2027