Session Chair: Dr. Alina Barbulescu Ovidius University of Constanța, Department of Mathematics and Computer Science Constanta, Romania Doctoral School of Technical University of Civil Engineering, Bucharest, Romania

The aim of this special session is to present the advances in the fields of modelling the hydro-meteorological time series. Time series analysis is usually time-consuming and computationally intensive, especially when hard computing methods are used. On the contrary soft computing methods (as neural networks, support vector machines, metaheuristics evolutionary computing / genetic programming, fuzzy logic, nonparametric approaches, modelling and prediction techniques) can be used in order to obtain a better balance between speed and accuracy of the models. Submissions reflecting theoretical methods and new highly experimental works in the field of statistical analysis and modelling of hydro-meteorological time series and that use the publicly available databases are especially encouraged.

Suggested topics of this special session include but are not limited to:
• Parametrical versus non-parametric approaches in hydro-meteorological data modelling
• Critical evaluation and comparisons of alternative approaches for hydro-meteorological series modelling
• New techniques for spatial data analysis applied in hydro-meteorology
• Hydro-meteorological software for data analysis – development and applications
• Soft computing and fuzzy techniques for trend and seasonality detection;
• Forecasting hydro-meteorological series

Submission Deadline: May 20, 2019

This special session is now open for submission and registration. Please submit your abstract/full paper via the Submission System and choose the option of “Special Session: Modern Techniques for Hydro-meteorological Series Analysis and Forecast" After that, you can make the conference registration directly via the Registration Page or the conference secretary will contact you for further information.