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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Invited lecture: “About the first GPS receiver on the Moon, and the other NASA space PNT stories” by James J. Miller (NASA)
Abstract: NASA’s contributions to the GNSS enterprise through science applications and space operations has played a vital role in the modernization and evolution of GPS capabilities for several decades. In the latest and recent developments, NASA has clearly demonstrated the success of the GPS+Galileo synergy by landing the first GPS+Galileo receiver on the lunar surface […]
Digital Twin-Driven Federated Learning and Reinforcement Learning-Based Offloading for Energy-Efficient Distributed Intelligence in IoT Networks
Improved frameworks for delivering both intelligence and effectiveness under strict constraints on resources are required due to the Internet of Things’ (IoT) devices’ rapid expansion and the resulting increase in sensor-generated data. In response, this research considers a joint learning-offloading optimization approach and presents an improved framework for energy-efficient distributed intelligence in sensor networks. Our […]
Agreement on collaboration between the Faculty of Engineering in Rijeka and the Shanghai Artificial Intelligence Research Institute
The University of Rijeka’s Faculty of Engineering signed a cooperation agreement with the Shanghai Artificial Intelligence Research Institute (SAIRI) to boost joint efforts in AI innovation and strengthen ties in cutting-edge digital technology research.
Forecasting the Trajectory of Personal Watercrafts Using Models Based on Recurrent Neural Networks
Monitoring and predicting personal watercraft trajectories is a novel and largely unexplored research area where any development is valuable for various rental services. Unlike existing work focused on specific maritime routes, this study introduces a location-agnostic deep-learning approach capable of generalizing across diverse environments. This is achieved by using an innovative preprocessing approach including offset […]
A System for Real-Time Detection of Abandoned Luggage
In this paper, we propose a system for the real-time automatic detection of abandoned luggage in an airport recorded by surveillance cameras. To do this, we use an adapted YOLOv11-s model and a proposed algorithm for detecting unattended luggage. The system uses the OpenCV library for the video processing of the recorded footage, a detector, […]
Arian Skoki defended his doctoral thesis “Data-Driven Assessment of Player Performance and Recovery in Soccer”
Arian Skoki successfully defended his doctoral thesis “Data-Driven Assessment of Player Performance and Recovery in Soccer” (Procjena karakteristika i oporavka igrača u nogometu zasnovana na podatcima) on April 7, 2025. His research introduces innovative approaches to soccer analytics by leveraging minute-by-minute wearable sensor data, cognitive load measurements, and machine learning to uncover new insights into player fitness, […]
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 […]
