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Laboratory for Information Processing and Pattern Recognition

The Laboratory for Information Processing and Pattern Recognition is, among the other, focused on research and knowledge transfer to and from industry in the fields of information processing, pattern recognition, signal processing, image, and video analysis, information theory, coding, and cryptography.

Head of Laboratory

Jonatan Lerga, Prof., PhD (RITEH)

Laboratory Projects

Advanced Data Analysis Using Digital Signal Processing and Machine Learning Techniques

Compound Flooding in Coastal Rivers in Present and Future Climate

Data Processing on Graphs

North Adriatic Hydrogen Valley

Development of computational algorithms based on digital signal processing and artificial intelligence methods with application in modern transport systems

INNO2MARE – Strengthening the capacity for excellence of Slovenian and Croatian innovation ecosystems to support the digital and green transitions of maritime regions

European Digital Innovation Hub Adria Croatia

ABsistemDCiCloud

Estimating River Discharges in Highly Stratified Estuaries

National Competence Centres in the Framework of EuroHPC (EUROCC)

Hyperspectral Image Analysis Using Machine Learning and Adaptive Data-Driven Filtering

Development of machine-learning-based techniques for illness and injury detection in medical images

Computer-Aided Digital Analysis And Classification of Signals

Computer-Aided Digital Analysis And Classification of Signals

A Network for Gravitational Waves, Geophysics and Machine Learning

Laboratory Research Papers

Forecasting the Trajectory of Personal Watercrafts Using Models Based on Recurrent Neural Networks

A System for Real-Time Detection of Abandoned Luggage

Enhancing Biophysical Muscle Fatigue Model in the Dynamic Context of Soccer

Regression-Based Machine Learning Approaches for Estimating Discharge from Water Levels in Microtidal Rivers

Method for Automatic Estimation of Instantaneous Frequency and Group Delay in Time–Frequency Distributions with Application in EEG Seizure Signals Analysis

Sparse Time-Frequency Distribution Reconstruction Using the Adaptive Compressed Sensed Area Optimized with the Multi-Objective Approach

Block-Adaptive Rényi Entropy-Based Denoising for Non-Stationary Signals

Application of Laser Systems for Detection and Ranging in the Modern Road Transportation and Maritime Sector

Entropy-Based Concentration and Instantaneous Frequency of TFDs from Cohen’s, Affine, and Reassigned Classes

Improved Parametrized Multiple Window Spectrogram with Application in Ship Navigation Systems

BlueNavi: A Microservices Architecture-Styled Platform Providing Maritime Information

Shipboard Data Compression Method for Sustainable Real-Time Maritime Communication in Remote Voyage Monitoring of Autonomous Ships

Detection of Non-Stationary GW Signals in High Noise from Cohen’s Class of Time-Frequency Representations Using Deep Learning

Analysis of Cryptography Algorithms Implemented in Android Mobile Application

Modeling Uncertainty in Fracture Age Estimation from Pediatric Wrist Radiographs

Multivariate Decomposition of Acoustic Signals in Dispersive Channels

From Time–Frequency to Vertex–Frequency and Back

Particle-Swarm-Optimization-Enhanced Radial-Basis- Function-Kernel-Based Adaptive Filtering Applied to Maritime Data

RANSAC-Based Signal Denoising Using Compressive Sensing

Rule-Based EEG Classifier Utilizing Local Entropy of Time–Frequency Distributions

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

Deep Learning for Feature Extraction in Remote Sensing: A Case-Study of Aerial Scene Classification

Comparison of Entropy and Dictionary Based Text Compression in English, German, French, Italian, Czech, Hungarian, Finnish, and Croatian

A Novel Approach to Extracting Useful Information From Noisy TFDs Using 2D Local Entropy Measures

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

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

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

Automatic Music Transcription for Traditional Woodwind Instruments Sopele

Automatic Music Transcription for Traditional Woodwind Instruments Sopele

Brain Computer Interface Based Communicator for Persons in Locked-in State

Extraction of Useful Information Content From Noisy Signals Based on Structural Affinity of Clustered TFDs’ Coefficients

Local-Entropy Based Approach for X-Ray Image Segmentation and Fracture Detection

Local-Entropy Based Approach for X-Ray Image Segmentation and Fracture Detection

Support Vector Machine State Estimation

Adaptive State Estimator With Intersection of Confidence Intervals Based Preprocessing

Adaptive Methods for Video Denoising Based on the ICI, FICI, and RICI Algorithms

An Adaptive Method Based on the Improved LPA-ICI Algorithm for MRI Enhancement

Mirroring Quasi-Symmetric Organ Observations for Reducing Problem Complexity

A Fast Signal Denoising Algorithm Based on the LPA-ICI Method for Real-Time Applications

Algorithm Based On the Short-Term Rényi Entropy And IF Estimation For Noisy EEG Signals Analysis

Improved LPA-ICI-Based Estimators Embedded in a Signal Denoising Virtual Instrument

Affiliated Researchers

  • Jonatan Lerga, Prof., PhD (RITEH)
  • Anna Maria Mihel, mag. ing. comp. (RITEH)
  • Arian Skoki, mag. ing. comp. (RITEH)
  • Ana Vranković, mag. ing. comp. (RITEH)
  • Boris Gašparović, mag. ing. comp. (RITEH)
  • David Bačnar, Asist. mag. ing. el. (RITEH)
  • Denis Selimović, mag. ing. el. (RITEH)
  • Guruprasad Madhale Jadav (RITEH)
  • Karlo Severinski, mag. ing. (PFRI)
  • Luka Batistić, mag. ing. comp. (RITEH)
  • Lucija Žužić, mag. ing. comp. (RITEH)
  • Luka Škrlj, mag. ing. comp. (RITEH)
  • Milan Budimir, mag. ing.
  • Mladen Tomić, Assoc. Prof., PhD (RITEH)
  • Marinko Žagar, sen. lect.
  • Nikola Lopac, Assist. Prof., PhD (PFRI)
  • Veljko Jardas, mag. ing. el.

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Center for Artificial Intelligence and Cybersecurity
  • jlerga@airi.uniri.hr
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University of Rijeka

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