Digitalisation transforms and accelerates not only the ways of doing business, but also the ways of thinking. Unprecedented interconnectedness and access in the cyberspace, where everything is available at the touch of a finger, give rise to many issues concerning the transfer and impact of new technologies from the digital world on social relations in […]
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Support Vector Machine State Estimation
The power system state estimator based on the support vector machine (SVM) and the weighted least squares (WLS) method is presented in the paper. The WLS provides state estimations necessary for creating SVM model which is then used for state estimation. The developed algorithm was tested on the IEEE systems, and the performance indicators were […]
Development of machine-learning-based techniques for illness and injury detection in medical images
Clinical decision-support systems are often built by manually gathering, formalising and implementing specialist knowledge. Therefore, they are limited by existing human knowledge concerning modelling clinical conditions, diagnosis and therapy, and can be inaccurate because of variations and complexity inherent to medical data. In order to circumvent these limitations, following an obvious growth of publicly available […]
QR Code Alternative – Increased Storage Capacity for Offline Transfer
Research on QR code alternatives with goal of increasing code storage capacity. The project is conducted at the Faculty of Engineering, University of Rijeka (www.riteh.uniri.hr).
The Influence of Feature Representation of Text on the Performance of Document Classification
In this paper we perform a comparative analysis of three models for a feature representation of text documents in the context of document classification. In particular, we consider the most often used family of bag-of-words models, the recently proposed continuous space models word2vec and doc2vec, and the model based on the representation of text documents […]
Invited lecture at the Johannes Kepler University of Linz, Austria
Invited lecture on “Computer-Aided Signal Analysis: Methods and Applications” by Assis. Prof. Jonatan Lerga, PhD, at the Johannes Kepler University (JKU) of Linz, Institute of Signal Processing, Austria, was held on the 28th of February and 1st of March, 2019.
ECDIS transitional period completion: Analyses, observations and findings
During the past three decades, the Electronic Chart Display and Information System (ECDIS) evolved from its initial purpose to a complex navigation support tool. The transition from paper to electronic charts represents a substantial step in navigation, contributing to the reduction of the navigator’s workload, ease of execution of navigational tasks and integrated information and […]
Customizing morphology, size, and response kinetics of matrix metalloproteinase-responsive nanostructures by systematic peptide design
Overexpression and activation of matrix metalloproteinase-9 (MMP-9) is associated with multiple diseases and can serve as a stimulus to activate nanomaterials for sensing and controlled release. In order to achieve autonomous therapeutics with improved space-time targeting capabilities, several features need to be considered beyond the introduction of an enzyme-cleavable linker into a nanostructure. We introduce […]
Data Stream Mining for Smart Cold Chain Management (SmaCC)
As a result of declining natural resources and growing populations, perishable food chains face the challenge of increasing food handling efficiency and minimizing post-harvest damage. The project proposes an SmaCC system based on the application of in-depth data flow analysis procedures for the analysis of sensory stream data. The data is generated by the latest […]
Computer-Aided Digital Analysis And Classification of Signals
Various natural phenomena are described by stochastic signals, the analysis of which requires utilizing advanced, computationally demanding algorithms (such as simultaneous processing of signals in time and frequency domain using quadratic time-frequency distributions). Besides being stochastic, these signals are usually non-stationary and multi-componential. Hence, to process them, it is necessary to develop adaptive algorithms for […]
