The project is directed toward developing computational algorithms based on advanced digital signal processing techniques and artificial intelligence methods. The research will particularly focus on the computer-aided analysis of non-stationary signals using two-dimensional quadratic time-frequency distributions, where the improvement in time-frequency resolution and robustness to noise will be thoroughly studied. Moreover, adaptive algorithms for non-stationary […]
Scientific Projects
Transversal Skills in Applied Artificial Intelligence (TSAAI)
The goal of the project is to study and analyze the most sought-after job profiles related to artificial intelligence on the market, develop education plans for higher education students, conduct education at all partner universities through academic courses with recognition of achieved points, and create a digital academic portal as a gathering place for new […]
INNO2MARE – Strengthening the capacity for excellence of Slovenian and Croatian innovation ecosystems to support the digital and green transitions of maritime regions
European Digital Innovation Hub Adria Croatia
ABsistemDCiCloud
Kratki opis projekta Alarm automatika je u suradnji s Tehničkim fakultetom u Rijeci kroz istraživačko razvojne aktivnosti u području ekologije i sigurnosti osmislila proizvod koji je u isto vrijeme namijenjen zaštiti domova, poslovnih prostora te ostalih objekata i povećanju energetske učinkovitosti. ABsistemDCiCloud predstavlja inovaciju na tržištu koja se temelji na razvijenom softveru, a koja će […]
Machine Learning for Knowledge Transfer in Medical Radiology
Medical radiology is often used in clinical analysis to establish a medical diagnosis in a non-invasive manner. By considering the morphological properties of the observed area, clinicians can determine the presence of an injury or a disease without the need for invasive surgery. The purpose of computer-aided diagnosis (CAD) is to help physicians with interpreting […]
Estimating River Discharges in Highly Stratified Estuaries
Estuaries are transitional areas between river and marine environments. Understanding the estuarine dynamics is important for various water management issues, such as predicting floods and droughts, assessing impacts of sea level rise, planning freshwater intake for irrigation, and managing sediment transport. One of the key requirements for understanding and predicting the estuarine dynamics is to […]
Multilayer Framework for the Information Spreading Characterization in Social Media during the COVID-19 Crisis (InfoCoV)
Communication through social media has been gaining importance in responses to major crises, such as COVID-19. In emergency situations, there is an urgent need to rely on trustworthy information. On the other side, we are all witnessing a huge amount of misinformation (fake news, conspiracy theories) also spreading on social media, especially during a crisis. […]
European Network for assuring food integrity using non-destructive spectral sensors
There is an increasing need for the food industry to provide information on their products in order to satisfy quality standards and to protect their products from food fraud. Recent developments in technology, and advances in big data analytics, provide the opportunity for step-changes that can transform the role of food integrity assurance from one […]
National Competence Centres in the Framework of EuroHPC (EUROCC)
H2020-JTI-EuroHPC-2019-2
