International Conference on Time Series Analysis and Machine Learning - (ICTSAML-26)


30th - 31st May, 2026 | Abuja, Nigeria

Multi-format (In-person/Virtual)

Important Dates

Pre-registration Deadline

30th April, 2026

Paper Submission Deadline

10th May, 2026

Last Date Of Registration

15th May, 2026

Date Of Conference

30th - 31st May, 2026

Downloads

Call for Papers

The (ICTSAML-26) is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.

With a strong focus on Machine Learning, the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.

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

Peer Review Process

All submissions will be evaluated through a structured peer-review process to ensure academic rigor and contribution to the field. Accepted papers will be presented and may be considered for publication in high-quality journals and indexed conference proceedings.

Registration Details

Secure your participation by completing the registration process at the earliest. Limited presentation slots are allocated on a first-come, first-served basis.

Publication Opportunities

High-quality submissions will be prioritized for publication opportunities in recognized journals and indexed proceedings.

Empowering Research Continuity

At Research Leagues, academic engagement continues without interruption despite the current global situation. Researchers can present and publish through online and integrated participation pathways.