Important Dates

Early Bird Registration :
30th April 2026

Paper Submission :
10th May, 2026

Last date of Registration :
15th May, 2026

Conference Date :
30th - 31st May, 2026

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Sample Abstract

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Call for Paper

The International Conference on Time Series Analysis and Machine Learning invites researchers, academicians, industry professionals, and practitioners to submit original and high-quality research contributions. This global platform is designed for knowledge exchange, innovation, and cross-domain collaboration.

Focusing on key research areas such as Machine Learning, the conference aims to bridge theoretical advancements with real-world applications. It encourages forward-thinking research that addresses contemporary challenges while contributing to long-term scientific and technological progress.

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

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

The conference welcomes theoretical, empirical, and applied research contributions. All submissions will undergo a rigorous peer-review process conducted by subject matter experts to ensure originality, technical quality, and relevance.

Accepted papers will be presented during the conference and considered for publication in reputed journals and conference proceedings, providing global visibility to the authors.

Publication

Accepted papers will be considered for publication in reputed journals and conference proceedings, subject to review outcomes and editorial policies.

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Registration

Authors of accepted papers are required to complete the registration process to confirm their participation in the conference. Early registration is recommended to secure presentation slots and access all conference sessions.

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Important Announcements

Abstract Submissions Open:
"We are now accepting abstract submissions for the Research Foundation International Conference in Kharkiv**. Submit your abstract by today to be part of this exciting international event. Submit Abstract Now!"

**Paper Submission Guidelines:
"Please ensure your paper follows the submission guidelines for smooth processing. Visit our paper submission page for more details."

Peer Review Process:
"The peer review process will begin soon. Authors will receive valuable feedback that will help enhance their presentations for the Kharkiv** conference."

Networking with Global Experts:
"Join global experts at our conference in Kharkiv** and engage in meaningful conversations. Build relationships that last."

**Best Paper Presentation Award:
Mr. Hadeel Taleb from University of Manchester received the Best Paper Presentation Award at (ICENOM-25) in Zurich, Switzerland.

**SDG-Inspired Conference Focus:
"The conference will explore themes related to sustainability and inclusive development, with an emphasis on research that contributes to global well-being."

Important Dates

Downloads

Flyer Download

Sample Article

Sample Abstract

Sample PPT

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

30th - 31st May, 2026 Kharkiv , Ukraine

Call for Paper

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

Publication

Registration

Categories

Important Announcements

**Abstract Submissions Open: "We are now accepting abstract submissions for the Research Foundation International Conference in Kharkiv. Submit your abstract by today to be part of this exciting international event. Submit Abstract Now!"

**Paper Submission Guidelines: "Please ensure your paper follows the submission guidelines for smooth processing. Visit our paper submission page for more details."

**Peer Review Process: "The peer review process will begin soon. Authors will receive valuable feedback that will help enhance their presentations for the Kharkiv conference."

**Networking with Global Experts: "Join global experts at our conference in Kharkiv and engage in meaningful conversations. Build relationships that last."

**Best Paper Presentation Award: Mr. Hadeel Taleb from University of Manchester received the Best Paper Presentation Award at (ICENOM-25) in Zurich, Switzerland.

**SDG-Inspired Conference Focus: "The conference will explore themes related to sustainability and inclusive development, with an emphasis on research that contributes to global well-being."

Important Dates

Downloads

Flyer Download

Sample Article

Sample Abstract

Sample PPT

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

30th - 31st May, 2026 Kharkiv , Ukraine

Call for Paper

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

Publication

Registration

Abstract Submissions Open:
"We are now accepting abstract submissions for the Research Foundation International Conference in Kharkiv**. Submit your abstract by today to be part of this exciting international event. Submit Abstract Now!"

**Paper Submission Guidelines:
"Please ensure your paper follows the submission guidelines for smooth processing. Visit our paper submission page for more details."

Peer Review Process:
"The peer review process will begin soon. Authors will receive valuable feedback that will help enhance their presentations for the Kharkiv** conference."

Networking with Global Experts:
"Join global experts at our conference in Kharkiv** and engage in meaningful conversations. Build relationships that last."

**Best Paper Presentation Award:
Mr. Hadeel Taleb from University of Manchester received the Best Paper Presentation Award at (ICENOM-25) in Zurich, Switzerland.

**SDG-Inspired Conference Focus:
"The conference will explore themes related to sustainability and inclusive development, with an emphasis on research that contributes to global well-being."

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