Research Fora

Call For Papers

The ICTSFES is committed to addressing global challenges through impactful research and sustainable solutions. It brings together researchers dedicated to advancing knowledge for societal benefit.

Focusing on Data Science, the conference promotes research aligned with global development goals and long-term sustainability.

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

Time series forecasting techniques in engineering
Machine learning for predictive analytics
Statistical methods for time series analysis
Real-time forecasting in engineering systems
Challenges in time series forecasting
Applications of forecasting in industry
Deep learning for time series prediction
Case studies in engineering forecasting
Impact of IoT on time series analysis
Data preprocessing for time series data
Visualization of forecasting results
Machine learning algorithms for time series
Future trends in forecasting technologies
Integration of diverse data sources
Ethical considerations in forecasting models
Adaptive forecasting methods using AI
Collaborative forecasting approaches
Benchmarking forecasting models
User experience in forecasting applications
Machine learning frameworks for time series

Assessment

All submissions will be reviewed for their contribution to global impact and research quality. Accepted papers will be presented and considered for publication in reputed platforms.

Registration

Join participants from around the world by completing your registration and becoming part of a global research community.

Publication

Accepted papers will gain international exposure through conference presentations and publication opportunities.

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Call For Paper

Call For Papers

Assessment

Registration

Publication

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