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Center for Artificial Intelligence and Cybersecurity – AIRI

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News

Applying Machine Learning for the Discovery of Peptides with Catalytic Activity

01.01.2020

Institution: Faculty of Engineering, University of Rijeka Objective: The aim of this project proposal is to build a catalytic activity prediction model for peptides that would drive a smart exploration of huge chemical search space.

AIRI scientists interview @ Novi List

29.12.2019

AIRI scientists reveal in interview for Novi list how their paper on Croatian syllabification helped in creating OmoReader application that allows people with dyslexia to read (pdf), 26.12.2019. A. Meštrović, M Matešić and S. Martinčić-Ipšić received “1st Technology Transfer” award, by University of Rijeka Foundation and company Alarm automatika, for the SyllAssist work on the algorithm for Croatian […]

Extending Appearance Based Gait Recognition with Depth Data

24.12.2019

Each individual describes unique patterns during their gait cycles. This information canbe extracted from the live video stream and used for subject identification. In appearance basedrecognition methods, this is done by tracking silhouettes of persons across gait cycles. In recentyears, there has been a profusion of sensors that in addition to RGB video images also […]

Foundation of the University of Rijeka Award in 2019 for N. Krvavica

13.12.2019

Assist. Professor Nino Krvavica received an annual award from the Foundation of the University of Rijeka in 2019 in the category of scientists (field of Engineering and Bioengineering sciences).

Talk on the Elliptic Curve Cryptography (ECC), Luka Martinez, ASSECO SEE

12.12.2019

Luka Martinez from the company ASSECO SEE held a lecture on the “Elliptic Curve Cryptography (ECC)” at the Faculty of Engineering on the 12th of December, 2019. The event took place at the Faculty of Engineering, University of Rijeka (www.riteh.uniri.hr).

Invited talk at the Faculty of Informatics, Eötvös Loránd University, Budapest, Hungary

11.12.2019

Invited talk on “Computer-Aided Nonstationary Signal Processing” by Assis. Prof. Jonatan Lerga, PhD at the Faculty of Informatics, Department of Programming Languages and Compilers, Eötvös Loránd University, Budapest, Hungary, was held on 11th of December, 2019.

Towards a sustainable Proof-of-Work

07.12.2019

Verifiable computing in blockchain

Verifiable computing applications for sustainable and scalable public blockchains

Shipboard ECDIS Cyber Security: Third-Party Component Threats

05.12.2019

The Electronic Chart Display and Information System (ECDIS) plays a central role in safe navigation of ships. The ECDIS is basically a software package running on a general operating system that could be comprised of the third-party components. This paper presents an analysis of cyber security weaknesses of a shipboard ECDIS raising from the ECDIS […]

Automatic Music Transcription for Traditional Woodwind Instruments Sopele

01.12.2019

Automatic Music Transcription for Traditional Woodwind Instruments Sopele

Sopela is a traditional hand-made woodwind instrument, commonly played in pair, characteristic to the Istrian peninsula in western Croatia. Its piercing sound, accompanied by two-part singing in the hexatonic Istrian scale, is registered in the UNESCO Representative List of the Intangible Cultural Heritage of Humanity. This paper presents an insight study of automatic music transcription […]

Sustainable Construction of Artificial Gravel Beaches – Construction of New Beaches and an Increase of Existing Capacity (BEACHEX)

01.12.2019

A scientific project conducted by the Faculty of Civil Engineering, University of Zagreb with the Lancaster Environment Centre, Lancaster University that has been fully supported by the “Research Cooperability“ Program of the Croatian Science Foundation funded by the European Union from the European Social Fund under the Operational Programme Efficient Human Resources 2014-2020.

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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

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

Digital Twin-Driven Federated Learning and Reinforcement Learning-Based Offloading for Energy-Efficient Distributed Intelligence in IoT Networks

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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