International Conference on Time Series Analysis and Machine Learning ICTSAML

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

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in reputed journals and conference proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

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Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.

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Hybrid Event