Teo Manojlović presented a paper titled “Using DICOM Tags for Clustering Medical Radiology Images into Visually Similar Groups”, at the 9th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2020), Valletta, Malta, February 22-24, 2020. http://dx.doi.org/10.5220/0008973405100517
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Adaptive Filtering and Analysis of EEG Signals in the Time-Frequency Domain Based on the Local Entropy
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 […]
ICPRAM 2020 Conference
Marina Ivasic-Kos and Kristina Host participated in the 9th International Conference on Pattern Recognition Applications and Methods – ICPRAM 2020 held on 22-24. February 2020, in Valletta, Malta. They presented the paper “Tracking handball players with the DeepSORT algorithm”. Marina Ivasic-Kos was also the leader of the Data Mining and Algorithms for Big Data section.
AIRI Researchers @ HTV
Ana Meštrović participated in the HTV show “Kod nas doma”. The topic was dedicated to the collaboration between AIRI researchers and OmoLab in the development of the mobile application for dyslexia.
A Comprehensive Peach Fruit Quality Evaluation Method for Grading and Consumption
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
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
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)
Institution: University of Rijeka, Department of Biotechnology
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Knowledge-based Approach to Crowd Analysis in Video Surveillance
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 […]
