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Centre for Artificial Intelligence and Cybersecurity – AIRI

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Research Papers

Improving the Performance of Dynamic Ship Positioning Systems: A Review of Filtering and Estimation Techniques

30.03.2020

Various operations at sea, such as maintaining a constant ship position and direction, require a complex control system. Under such conditions, the ship needs an efficient positioning technique. Dynamic positioning (DP) systems provide such an application with a combination of the actuators mechanism, analyses of crucial ship variables, and environmental conditions. The natural forces of […]

Structural Analysis of Factual, Conceptual, Procedural, and Metacognitive Knowledge in a Multidimensional Knowledge Network

09.03.2020

Discovering the most suitable network structure of the learning domain represents one of the main challenges of knowledge delivery and acquisition. We propose a multidimensional knowledge network (MKN) consisting of three components: multilayer network and its two projections. Each network layer constitutes factual, conceptual, procedural, or metacognitive knowledge within the domain of databases as a […]

Active Player Detection in Handball Scenes Based on Activity Measures

08.03.2020

The scientific article “Active Player Detection in Handball Scenes Based on Activity Measures” by M. Pobar, M. Ivašić-Kos was published in open access in the journal MDPI Sensors, in the special issue “Advanced Computational Intelligence for Object Detection, Feature Extraction and Recognition in Smart Sensor Environments ”, Sensors 2020, 20 (5), 1475 and is available […]

Improved Power System State Estimator With Preprocessing Based on the Modified Intersection of Confidence Intervals

01.03.2020

The paper proposes a power system state estimator upgraded by the improved relative intersection of confidence intervals (RICI) algorithm combined with the local polynomial approximation (LPA). In the proposed approach, a novel LPA-RICI denoising technique is utilized to preprocess the input measurements. The accuracy of the adaptive, data-driven LPA-RICI based state estimator was tested on […]

Application of Koopman-Based Control in Ultrahigh-Precision Positioning

29.02.2020

Ultra-high precision positioning devices are of outmost importance in microsystems’ technologies and precision engineering. The frictional disturbances of mechanical elements in relative motion often limit their positioning performances. If nanometric positioning precision and accuracy are aimed for, frictional disturbances have thus to be identified, modeled and compensated for via appropriate control algorithms. Suitable experimental set-ups […]

Adaptive Filtering and Analysis of EEG Signals in the Time-Frequency Domain Based on the Local Entropy

26.02.2020

The brain dynamics in the electroencephalogram (EEG) data are often challenging to interpret, specially when the signal is a combination of desired brain dynamics and noise. Thus, in an EEG signal, anything other than the desired electrical activity, which is produced due to coordinated electrochemical process, can be considered as unwanted or noise. To make […]

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 […]

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 […]

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 […]

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 […]

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Latest Projects

Machine Learning for Knowledge Transfer in Medical Radiology

Estimating River Discharges in Highly Stratified Estuaries

Multilayer Framework for the Information Spreading Characterization in Social Media during the COVID-19 Crisis (InfoCoV)

European Network for assuring food integrity using non-destructive spectral sensors

National Competence Centres in the Framework of EuroHPC (EUROCC)

Latest Research Papers

A Comparison of Approaches for Measuring the Semantic Similarity of Short Texts Based on Word Embeddings

Indoor Localization Based on Infrared Angle of Arrival Sensor Network

Gravitational-Wave Burst Signals Denoising Based on the Adaptive Modification of Intersection of Confidence Intervals Rule

Survey of Neural Text Representation Models

Je li blockchain tehnologija budućnost digitalizacije zemljišnih knjiga?

Latest News

UNIRI Excellence Awards in Science

Talk on conference “Exploring Digital Legal Landscapes”

ICAIH 2020 conference presentation

International conference “Exploring Digital Legal Landscapes” – 11th of December, 2020

Sanda Martinčić-Ipšić talk the Data Science Conference

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Center for Artificial Intelligence and Cybersecurity
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