Invited talk on “Computer-Aided Decision Support Systems in Medicine” by Assis. Prof. Jonatan Lerga, PhD, at the Faculty of Electrical Engineering and Computer Science, University of Maribor, Slovenia, was held on the 9th of May, 2019.
Laboratory for Information Processing and Pattern Recognition
Invited talk at the Faculty of Medicine, Vasile Goldis Western University of Arad, Arad, Romania
Invited talk on “Computer-Aided Biomedical Signal Analysis” by Assis. Prof. Jonatan Lerga, PhD, at the Faculty of Medicine, Vasile Goldis Western University of Arad, Arad, Romania, was held on the 7th of May, 2019.
Extraction of Useful Information Content From Noisy Signals Based on Structural Affinity of Clustered TFDs’ Coefficients
This paper proposes an automatic method for extraction of useful information content from time-frequency distributions of nonstationary signals heavily corrupted by additive noise. The proposed method, which does not require prior knowledge of the signal, initially performs a one-dimensional clustering of the time-frequency distribution aimed at segmenting it into a fixed number of classes. This […]
Prof. Iven Mareels, Head of the IBM Research Lab, held a talk on the Artificial intelligence – Perspectives: a Brief History, Present Developments, and Future Promises”
Prof. dr. sc. I. Mareels, Head of the IBM Research Lab of Australia, held an invited speech at the Faculty of Engineering on the “Artificial intelligence – Perspectives: a Brief History, Present Developments, and Future Promises” on the 10th of April, 2019. The event took place at the Faculty of Engineering, University of Rijeka (www.riteh.uniri.hr).
Local-Entropy Based Approach for X-Ray Image Segmentation and Fracture Detection
The paper proposes a segmentation and classification technique for fracture detection in X-ray images. This novel rotation-invariant method introduces the concept of local entropy for de-noising and removing tissue from the analysed X-ray images, followed by an improved procedure for image segmentation and the detection of regions of interest. The proposed local Shannon entropy was […]
Invited talk at the Institute of Informatics, University of Szeged, Hungary
Invited talk on “Data-Driven Adaptive Filtering with Applications” by Assis. Prof. Jonatan Lerga, PhD, at the Institute of Informatics, University of Szeged, Hungary, was held on the 20th of March, 2019.
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).
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.
