Developing artificial learning systems that can understand and generate natural language has been one of the long-standing goals of artificial intelligence. Recent decades have witnessed an impressive progress on both of these problems, giving rise to a new family of approaches. Especially, the advances in deep learning over the past couple of years have led […]
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Advanced Data Analysis Using Digital Signal Processing and Machine Learning Techniques
This project focuses on processing real-life digital signals (time-series and images), which often exhibit a non-stationary nature. We plan to utilize advanced signal processing techniques and artificial intelligence to analyze and classify such data. The project envisages the transformation of time-series into images (time-frequency representations providing simultaneous insight into signal characteristics in both domains). Special […]
Compound Flooding in Coastal Rivers in Present and Future Climate
The subject of this project is compound flooding in coastal areas due to high sea and river levels. Compound flooding is a global research priority due to the increasing occurrence in the context of climate change. The problem of compound flooding in coastal rivers is challenging because of a complex interaction between several factors, including […]
Data Processing on Graphs
Big data and the ever-growing need for their fast and efficient processing, aimed at obtaining information used in the automation of business processes, improving communication, enhancing efficiency and success in practically every segment of human activities, as well as better understanding of nature, humans, and society, are some of the main characteristics of computer technology […]
North Adriatic Hydrogen Valley
The aim and main objectives of the NAHV The project’s main goal is the creation of a hydrogen-based economic, social and industrial ecosystem based on the capacity of the quadruple helix actors. This will drive economic growth, generating new job opportunities within the framework of both the green and digital transitions and, by creating the conditions […]
Data Governance and Intellectual Property Governance in Common European Data Spaces – DGIP-CEDS
The development of common European data spaces is the bedrock of the future European data economy, which could bring huge benefits, but also poses significant challenges and risks. Hence, it is vital to perform research on how common European data spaces should be governed by appropriate rules. DGIP-CEDS aims to map, analyse and further develop […]
Enhancing Biophysical Muscle Fatigue Model in the Dynamic Context of Soccer
In the field of muscle fatigue models (MFMs), the prior research has demonstrated success in fitting data in specific contexts, but it falls short in addressing the diverse efforts and rapid changes in exertion typical of soccer matches. This study builds upon the existing model, aiming to enhance its applicability and robustness to dynamic demand […]
Anna Maria Mihel defended her PhD dissertation topic
PhD student Anna Maria Mihel, mag. ing. comp. has defended her PhD dissertation topic entitled “Estimation and prediction of discharges in tidal rivers and estuaries using machine learning” with expected scientific contributions of the proposed research being: A machine learning-based approach for estimation and prediction of water levels and discharges in tidal rivers and estuaries. […]
Prof. dr. sc. Renato Filjar participated at the meeting of the 31st National Space-Based Positioning, Navigation and Timing US Advisory Board
Prof. dr. sc. Renato Filjar, as a representative of Croatia, participated at the 31st National Space-Based Positioning, Navigation and Timing US National Advisory Board Meetingat the Sonesta Redondo Beach, Redondo Beach, California, USA (https://www.youtube.com/watch?v=zWwuq6jIIE4&t=6834s)
Pravna tehnologija (Legal Tech) i njezina (ne)prikladnost za zamjenu pravne struke
Regression-Based Machine Learning Approaches for Estimating Discharge from Water Levels in Microtidal Rivers
The challenges of managing water resources in tidal rivers, exacerbated by climate change and anthropogenic impacts, require innovative approaches for accurate estimation of hydrological parameters. In tidal rivers and estuaries, water levels depend primarily on river discharge and tidal dynamics. Microtidal estuaries are particularly complex due to the strong stratification and two-layer structure, which also […]
