Various natural phenomena are described by stochastic signals, the analysis of which requires utilizing advanced, computationally demanding algorithms (such as simultaneous processing of signals in time and frequency domain using quadratic time-frequency distributions). Besides being stochastic, these signals are usually non-stationary and multi-componential. Hence, to process them, it is necessary to develop adaptive algorithms for […]
Scientific Projects
A Network for Gravitational Waves, Geophysics and Machine Learning
The breakthrough discovery of gravitational waves on September 14, 2015 was made possible through synergy of techniques drawing from expertise in physics, mathematics, information science and computing. At present, there is a rapidly growing interest in Machine Learning (ML), Deep Learning (DL), classification problems, data mining and visualization and, in general, in the development of […]
Image Processing, Information Engineering & Interdisciplinary Knowledge Exchange
CEEPUS network “Image Processing, Information Engineering & Interdisciplinary Knowledge Exchange”, CIII-AT-0042, is dedicated to connecting researchers in the field of computer science and signal processing with medical experts. RITEH is a partner in the project from 2018.
River-Sea Interaction in the Context of Climate Change
The project goal is to develop suitable methodology and computational algorithms for predicting complex interaction between storm surges, sea waves, and water discharges in coastal areas.
ECDIS EHO
The ECDIS EHO (Experience, Handling and Opinion) research represents a series of studies addressed at ECDIS (Electronic Chart Display and Information System) topics comprising knowledge-based, operational and system handling features. Main project keypoints are: Educational process improvement, Development of maritime navigational and information systems for Autonomous vessel, Concepts and capabilities of information systems in maritime […]
