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Center for Artificial Intelligence and Cybersecurity – AIRI

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News

A Comprehensive Peach Fruit Quality Evaluation Method for Grading and Consumption

17.02.2020

Peaches are a popular fruit appreciated by consumers due to their eating quality. Quality evaluation of peaches is important for their processing, inventory control, and marketing. Eleven quality indicators (shape index, volume, mass, density, firmness, color, impedance, phase angle, soluble solid concentration, titratable acidity, and sugar–acid ratio) of 200 peach fruits (Prunus persica (L.) Batsch “Spring […]

Hyperspectral Image Analysis Using Machine Learning and Adaptive Data-Driven Filtering

17.02.2020

As a non-contact and non-invasive technique, hyperspectral imaging enables the collection of highly informative spectral (at different wavelengths) and spatial data on the observed sample. The collected spectra reflect the chemical composition and spatial morphology of the sample. The technique is successfully applied in the food industry, for industrial classification, and in medicine for the […]

Assessment of sea-level rise impacts on salt-wedge intrusion in idealized and Neretva River Estuary

08.02.2020

Understanding the response of estuaries to sea-level rise is crucial in developing a suitable mitigation and climate change adaptation strategy. This study investigates the impacts of rising sea levels on salinity intrusion in salt-wedge estuaries. The sea-level rise impacts are assessed in idealized estuaries using simple expressions derived from a two-layer hydraulic theory, and in […]

Design of short catalytic peptides and peptide assemblies (DeShPet)

01.02.2020

Institution: University of Rijeka, Department of Biotechnology

Our Center Will Contribute to the Development of Innovative Companies, Products and Services

24.01.2020

Knowledge-based Approach to Crowd Analysis in Video Surveillance

15.01.2020

Recently, one of the most active research area in computer vision is crowded scene analysis. A crowd can be defined as a mass of people or large group of individuals gathered in the same physical environment. Crowd modelling, crowd scene analysis and behavioural recognition are one of most challenging topics in computer vision and more […]

Automatic recognition of actions and activities in multimedia content from sports domain (RAASS)

15.01.2020

Multimedia content such as digital images and video have become an important storage and exchange media. A large amount of such content from competitions, games and training sessions is constantly being created in the sports domain, and there has been a great interest for multimedia content analysis among athletes and coaches, on all levels from […]

Nino Krvavica talks about his research for radio station Rijeka

12.01.2020

Re-evaluating efficiency of first-order numerical schemes for two-layer shallow water systems by considering different eigenvalue solutions

10.01.2020

The efficiency of several first-order numerical schemes for two-layer shallow water equations (SWE) are evaluated here by considering different eigenvalue solutions. This study is a continuation of our previous work (Krvavica et al., 2018) in which we have proposed an efficient implementation of a Roe solver for two-layer SWE based on analytical expressions for eigenvalues […]

ZASPAL PAVE Multimedia Platform of Istrian traditional songs

03.01.2020

Digitalization, development, and processes of creating a multimedia digital platform ‘Zaspal Pave’, created in cooperation with the Faculty of Philosophy of the University of Rijeka and the county cultural institutions ‘Institution Ivan Matetic Ronjgov’ with the aim of creating a knowledge base and digital representation of the musical cultural heritage of the Northern Adriatic.

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Latest Projects

Knowledge Graphs in the Era of Large Language Models (KGELL)

LIVE Quantum – Development of an Integrated AI Platform for Multichannel Personalized Management of User Requests

Predicting Anomalous Trajectories Using Machine Learning

Adaptive Algorithms for Integrating Compressive Sensing with Deep Learning

Deep Learning for Smart Energy Systems Management

Latest Research Papers

Security and Privacy of Large Language Models: Threat Taxonomy, Ethical Implications, and Governance

Deep Unfolding ADMM Network for CS Image Reconstruction with Long-Short Term Residuals

XDT-FMARL: An Explainable Federated Multi-Agent Reinforcement Learning Framework for Energy-Efficient IoT Task Offloading

Proactive Context Aware Task Offloading in Digital Twin Driven Federated IoT Systems with Large Language Models

Pretraining and evaluation of BERT models for climate research

Latest News

Knowledge Graphs in the Era of Large Language Models (KGELL)

LIVE Quantum – Development of an Integrated AI Platform for Multichannel Personalized Management of User Requests

LIVE Quantum project kick-off meeting

Pretraining and evaluation of BERT models for climate research

Invited lecture: “About the first GPS receiver on the Moon, and the other NASA space PNT stories” by James J. Miller (NASA)

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Center for Artificial Intelligence and Cybersecurity
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University of Rijeka

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