Istraživači

• Prof. dr. sc. Jonatan Lerga
• Dr. sc. Ana Vranković Lacković
• Anna Maria Mihel, doktorandica
• Arian Skoki, doktorand
• Boris Gašparović, doktorand
• Lucija Žužić, doktorandica
• Deni Klen, doktorand
• Luka Škrlj, doktorand
• Seyedmatin Malakouti, doktorand
• Karlo Severinski, doktorand (vanjski)
• Klea Elmazi, doktorandica (vanjska)
• Mohamed Eltahan, doktorand (vanjski)
• Denis Selimović, doktorand (vanjski)

Projekti

Tekući projekti

• Advanced Data Analysis Using Digital Signal Processing and Machine Learning Techniques, UNIRI, 2024-2026, project leader
• Compound Flooding in Coastal Rivers in Present and Future Climate, UNIRI, 2024-2026, project team member
• Data Processing on Graphs, Montenegrin Ministry of Science and Technological Development, 2024-2027, project team member
• North Adriatic Hydrogen Valley, EU Horizon, 2023-2029, project team member
• Development of Computational Algorithms Based on Digital Signal Processing and Artificial Intelligence Methods with Application in Modern Transport Systems, UNIRI, 2024-2025, project team member
• INNO2MARE: Strengthening the Capacity for Excellence of Slovenian and Croatian Innovation Ecosystems to Support the Digital and Green Transitions of Maritime Regions, EU Horizon, 2023-2026, project team member
• European Digital Innovation Hub “EDIH Adria”, EU Digital Europe, 2023-2026, project team member
• Artificial Intelligence, Technology and Law, UNIRI, 2022, project team member

Završeni projekti

• STEM(AJMO!), EU Social Fund, 2021-2023, project team member
• ABsistemDCiCloud, IRI2 project, 2020-2023, project team member
• Estimating River Discharges in Highly Stratified Estuaries, UNIRI, 2020-2022, project team member
• National Competence Centres in the Framework of EuroHPC (EUROCC), EU Horizon, 2020-2022, project team member
• Hyperspectral Image Analysis Using Machine Learning and Adaptive Data-Driven Filtering, bilateral project, 2020-2021, project leader
• DEcision Support System for green and safE ship RouTing, Croatian Science Foundation, 2019-2023, project team member
• Computer-Aided Digital Analysis and Classification of Signals, UNIRI, 2019-2022, project leader
• Development of machine-learning-based techniques for illness and injury detection in medical images, UNIRI, 2019-2022, project team member
• A network for Gravitational Waves, Geophysics and Machine Learning, COST Action, 2018-2022, project team member
• Thorax Motion Supervision in Radiotherapy Using Machine Learning Techniques, bilateral project, 2018-2019, project team member
• Implementation of Time-Frequency and Other Advanced Algorithms for Biomedical Signal Analysis, UNIRI, 2017, project leader
• “RadiologyNet: Machine Learning for Knowledge Transfer, UNIRI, 2017, project team member
• Development of Cloud Manufacturing Intelligent Systems for Supervision, Control and Automation of Manufacturing Process, UNIRI, 2014-2018, project team member
• Time-Frequency Signal Analysis and Applications, bilateral project, 2011-2013, project team member

Publikacije

Poglavlja u knjigama

1. Sucic, V.; Lerga, J.; Rankine, L.; Boashash, B.: Components Extraction from TFDs for Multicomponent Signals IF Estimation, B. Boashash, ed., Time-Frequency Signal Analysis and Processing: A Comprehensive Review, 2nd ed., Academic Press, 2015, ch. 10.6, pp. 566-573.

Radovi u časopisima indeksiranim u Current Contents, Science Citation Index and Science Citation Index Expanded:

1. Skoki, A.; Ivić, S.; Ljubić, S.; Lerga, J.; Štajduhar, I: Enhancing Biophysical Muscle Fatigue Model in the Dynamic Context of Soccer, Sensors, 2024, vol. 24, no. 24, no. 8128.
   Sensors: Q1 (Scimago), Q2 (Thomson Reuters), impact factor 3.4
2. Mihel, A. M.; Lerga, J.; Krvavica, N.: Regression-Based Machine Learning Approaches for Estimating Discharge from Water Levels in Microtidal Rivers, Journal of Hydrology, 2025, vol. 646, no. 132276.
   Journal of Hydrology: Q1 (Scimago), Q1 (Thomson Reuters), impact factor 5.9
3. Mihel, A. M.; Lerga, J.; Krvavica, N.: Estimating Water Levels and Discharges in Tidal Rivers and Estuaries: Review of Machine Learning Approaches, Environmental Modelling and Software, 2024, vol. 176, no. 106033.
   Environmental Modelling and Software: Q1 (Scimago), Q1 (Thomson Reuters), impact factor 4.9
4. Skoki, A.; Gašparović, B.; Ivić, S.; Lerga, J.; Štajduhar, I.: Building Individual Player Performance Profiles According to Pre-Game Expectations and Goal Difference in Soccer, Sensors, 2024, vol. 24, no. 5, 1700.
   Sensors: Q1 (Scimago), Q2 (Thomson Reuters), impact factor 3.9
5. Selimović, D.; Hržić, F.; Prpić-Oršić, J.; Lerga, J.: Estimation of Sea State Parameters from Ship Motion Responses Using Attention-based Neural Networks, Ocean Engineering, 2023, vol. 281, 114915,.
   Ocean Engineering: Q1 (Scimago), Q1 (Thomson Reuters), impact factor 4.372
6. Skoki, A.; Napravnik, M.; Polonijo, M.; Štajduhar, I.; Lerga, J.: Revolutionizing Soccer Injury Management: Predicting Muscle Injury Recovery Time Using ML, Applied Sciences, 2023, vol. 10, no. 13, 6222.
   Applied Sciences: Q2 (Scimago), Q3 (Thomson Reuters), impact factor 2.838
7. Batistic, L.; Lerga, J.; Stanković, I.: Detection of Motor Imagery Based on Short-Term Entropy of Time–Frequency Representations, BioMedical Engineering OnLine, 2023, vol. 22, no. 41.
   BioMedical Engineering OnLine: Q2 (Scimago), Q3 (Thomson Reuters), impact factor 3.903
8. Dombi, J.; Vranković Lacković, A.; Lerga, J.: A New Insight into Entropy Based on the Fuzzy Operators, Applied to Useful Information Extraction from Noisy Time-Frequency Distributions, Mathematics, 2023, vol. 11, no. 505.
   Mathematics: Q2 (Scimago), Q1 (Thomson Reuters), impact factor 2.258
9. Saulig, N.; Milovanović, M.; Miličić, S.; Lerga, J.: Signal Useful Information Recovery by Overlapping Supports of Time-Frequency Representations, IEEE Transactions on Signal Processing, 2022, vol. 70, pp. 5504-5517.
   IEEE Transactions on Signal Processing: Q1 (Scimago), Q1 (Thomson Reuters), impact factor 4.875
10. Gašparović, B.; Lerga, J.; Mauša, G.; Ivašić-Kos M.: Deep Learning Approach for Objects Detection in Underwater Pipeline Images, Applied Artificial Intelligence, 2022, vol. 36, no. 1, pp. 3697-3716.
    Applied Artificial Intelligence: Q3 (Scimago), Q2 (Thomson Reuters), impact factor 2.777
11. Saulig, N.; Lerga, J.; Miličić, S.; Tomasović, Ž.: Block-Adaptive Rényi Entropy-Based Denoising for Non-Stationary Signals, Sensors, 2022, 22 (21), 8251.
    Sensors: Q2 (Scimago), Q1 (Thomson Reuters), impact factor 3.576
12. Bačnar, D.; Saulig, N.; Petrijevčanin Vuksanović, I.; Lerga, J.: Entropy-Based Concentration and Instantaneous Frequency of TFDs from Cohen’s, Affine and Reassigned Classes, Sensors, 2022, 22 (10), no. 3727.
    Sensors: Q2 (Scimago), Q1 (Thomson Reuters), impact factor 3.576
13. Stanković, I.; Brajović, M.; Lerga, J.; Daković, M.; Stanković, LJ.: Image Denoising Using RANSAC and Compressive Sensing, Multimedia Tools and Applications, 2022, 81, 44311–44333.
    Multimedia Tools and Applications: Q1 (Scimago), Q2 (Thomson Reuters), impact factor 2.757
14. Njirjak, M.; Otović, E.; Jozinović, D.; Lerga, J.; Mauša, G.; Michelini, A.; Štajduhar, I.: The Choice of Time–Frequency Representations of Non-Stationary Signals Affects Machine Learning Model Accuracy: A Case Study on Earthquake Detection from LEN-DB Data, Mathematics, 2022, 10(6), 965.
    Mathematics: Q2 (Scimago), Q1 (Thomson Reuters), impact factor 2.258
15. Selimović, D.; Lerga, J.; Kovács, P.; Prpić-Oršić, J.: Improved Parametrized Multiple Window Spectrogram with Application in Ship Navigation Systems, Digital Signal Processing, 2022, 126, no. 103491.
    Digital Signal Processing: Q1 (Scimago), Q2 (Thomson Reuters), impact factor 3.381
16. Lopac, N.; Hržić, F.; Petrijevčanin Vuksanović, I.; Lerga, J.: Detection of Non-Stationary GW Signals in High Noise from Cohen’s Class of Time-Frequency Representations Using Deep Learning, IEEE Access, 2022, 10, pp. 2408-2428.
    IEEE Access: Q1 (Scimago), Q2 (Thomson Reuters), impact factor 3.367
17. Salkanović, A.; Ljubić, S.; Stanković, LJ.; Lerga, J.: Analysis of Cryptography Algorithms Implemented in Android Mobile Application, Information Technology And Control, 2021, 50 (4), pp. 786-807.
    Information Technology And Control: Q3 (Scimago), Q4 (Thomson Reuters), impact factor 1.228
18. Hržić, F.; Janisch, M.; Štajduhar, I.; Lerga, J.; Sorantin, E.; Tschauner, S.: Modeling Uncertainty In Fracture Age Estimation From Pediatric Wrist Radiographs, Mathematics, 2021, 9 (24), 3227.
    Mathematics: Q2 (Scimago), Q1 (Thomson Reuters), impact factor 2.258
19. Brajović, M.; Stanković, I.; Lerga, J.; Ioana, C.; Zdravevski, E.; Daković, M.: Multivariate Decomposition of Acoustic Signals in Dispersive Channels, Mathematics, 2021, 9 (21), 2796.
    Mathematics: Q2 (Scimago), Q1 (Thomson Reuters), impact factor 2.258
20. Stanković, LJ.; Lerga, J.; Mandic, D.; Brajović, M.; Richard, C.; Daković, M.: From Time–Frequency to Vertex–Frequency and Back, Mathematics, 2021, 9 (12), 1407.
    Mathematics: Q2 (Scimago), Q1 (Thomson Reuters), impact factor 2.258
21. Lopac, N.; Jurdana, I.; Lerga, J.; Wakabayashi, N.: Particle-Swarm-Optimization-Enhanced Radial-Basis-Function-Kernel-Based Adaptive Filtering Applied to Maritime Data, Journal of Marine Science and Engineering, 2021, 9, 439.
    Journal of Marine Science and Engineering: Q2 (Scimago), Q2 (Thomson Reuters), impact factor 2.458
22. Stanković, LJ.; Brajović, M.; Stanković, I.; Lerga. J.; Daković, M.: RANSAC-Based Signal Denoising Using Compressive Sensing, Circuits, Systems, and Signal Processing, 2021, 40, 3907-3928.
    Circuits, Systems, and Signal Processing: Q2 (Scimago), Q3 (Thomson Reuters), impact factor 2.225
23. Lerga, J.; Saulig, N.; Stanković, L.; Seršić, D.: Rule-Based EEG Classifier Utilizing Local Entropy of Time–Frequency Distributions, Mathematics, 2021, 9, 451.
    Mathematics: Q2 (Scimago), Q1 (Thomson Reuters), impact factor 2.258
24. Lopac, N.; Lerga, J.; Cuoco, E.: Gravitational-Wave Burst Signals Denoising Based on the Adaptive Modification of Intersection of Confidence Intervals Rule, Sensors 2020, 20, 6920.Sensors: Q2 (Scimago), Q1 (Thomson Reuters), impact factor 3.576
25. Petrovska, B.; Zdravevski, E.; Lameski, P.; Corizzo, R.; Stajduhar, I.; Lerga, J.: Deep Learning for Feature Extraction in Remote Sensing: A Case-Study of Aerial Scene Classification, Sensors 2020, 20, 3906.
    Sensors: Q2 (Scimago), Q1 (Thomson Reuters), impact factor 3.576
26. Ignatoski, M.; Lerga, J.; Stanković, Lj.; Daković, M.: Comparison of Entropy and Dictionary Based Text Compression in English, German, French, Italian, Czech, Hungarian, Finnish, and Croatian, Mathematics 2020, 8, 1059.
    Mathematics: Q2 (Scimago), Q1 (Thomson Reuters), impact factor 2.258
27. Vranković, A.; Lerga, J.; Saulig, N.: A Novel Approach to Extracting Useful Information From Noisy TFDs Using 2D Local Entropy Measures, EURASIP Journal on Advances in Signal Processing, no. 18, 2020.
    EURASIP Journal on Advances in Signal Processing: Q2 (Scimago), Q3 (Thomson Reuters), impact factor 1.630
28. Selimović, D.; Lerga, J.; Prpić-Oršić, J.; Kenji, S.: Improving the Performance of Dynamic Ship Positioning Systems: A Review of Filtering and Estimation Techniques, Journal of Marine Science and Engineering, vol. 8, no. 4, no. 234, 2020.
    Journal of Marine Science and Engineering: Q2 (Scimago), Q2 (Thomson Reuters), impact factor 2.458
29. Kirinčić, V.; Lerga, J.; Saulig, N.; Franković, D.: Improved Power System State Estimator with Preprocessing Based on the Modified Intersection of Confidence Intervals, Sustainable Energy, Grids and Networks, vol. 21, no. 100323, 2020.
    Sustainable Energy, Grids and Networks: Q1 (Scimago), Q1 (Thomson Reuters), impact factor 3.899
30. Madhale Jadav, G.; Lerga, J.; Stajduhar, I.: Adaptive Filtering and Analysis of EEG Signals in the Time-Frequency Domain Based on the Local Entropy, EURASIP Journal on Advances in Signal Processing, no. 7, 2020.
    EURASIP Journal on Advances in Signal Processing: Q2 (Scimago), Q3 (Thomson Reuters), impact factor 1.630
31. Skoki, A.; Ljubic, S.; Lerga, J.; Štajduhar, I. Automatic Music Transcription for Traditional Woodwind Instruments Sopele, Pattern Recognition Letters, vol. 128; pp. 340 – 347, 2019.
    Pattern Recognition Letters: Q1 (Scimago), Q2 (Thomson Reuters), impact factor 3.255
32. Saulig, N.; Lerga, J.; Milanovic, Ž.; Ioana, C.: Extraction of Useful Information Content from Noisy Signals Based on Structural Affinity of Clustered TFDs’ Coefficients, IEEE Transactions on Signal Processing, vol. 67, no. 12, pp. 3154 – 3167, 2019.
    IEEE Transactions on Signal Processing: Q1 (Scimago), Q1 (Thomson Reuters), impact factor 5.028
33. Hržić, F.; Štajduhar, I.; Tschauner, S.; Sorantin, E.; Lerga, J.: Local-Entropy Based Approach for X-Ray Image Segmentation and Fracture Detection, Entropy, vol. 21, no. 4, 338, pps. 18, 2019.
    Entropy: Q2 (Scimago), Q2 (Thomson Reuters), impact factor 2.494
34. Kirinčić, V.; Čeperić, E.; Vlahinić, S.; Lerga, J.: Support Vector Machine State Estimation, Applied Artificial Intelligence, vol. 33, no. 6, pp. 517-530, 2019.
    Applied Artificial Intelligence: Q3 (Scimago), Q4 (Thomson Reuters), impact factor 1.172
35. Lerga, J.; Mandić, I.; Peić, H.; Brščić, D.: An Adaptive Method Based on the Improved LPA-ICI Algorithm for MRI Enhancement, The Imaging Science Journal, vol. 66, no. 6, pp. 372-381, 2018.
    The Imaging Science Journal: Q2 (Scimago), Q4 (Thomson Reuters), impact factor 0.864
36. Lerga, J.; Kirinčić, V.; Franković, D.; Štajduhar, I.: Adaptive State Estimator with Intersection of Confidence Intervals Based Preprocessing, International Journal of Electrical Power & Energy Systems, vol. 102, pp. 413-420, 2018.
    International Journal of Electrical Power & Energy Systems: Q1 (Scimago), Q1 (Thomson Reuters), impact factor 4.418
37. Lerga, J.; Grbac, E.; Sucic, V.; Saulig, N.: Adaptive Methods for Video Denoising Based on the ICI, FICI, and RICI Algorithms, Tehnički vjesnik, vol. 25, no. suppl. 1, pp. 1-6, 2018.
    Tehnički vjesnik: Q2 (Scimago), Q4 (Thomson Reuters), impact factor 0.644
38. Štajduhar, I.; Tomić, M.; Lerga, J.: Mirroring Quasi-Symmetric Organ Observations for Reducing Problem Complexity, Expert Systems with Applications, vol. 85, pp. 318–334, 2017.
    Expert Systems with Applications: Q1 (Scimago), Q1 (Thomson Reuters), impact factor 3.768
39. Volaric, I.; Lerga, J.; Sucic, V.: A Fast Signal Denoising Algorithm Based on the LPA-ICI Method for Real-Time Applications, Circuits, Systems, and Signal Processing, vol. 36, pp. 4653-4669, 2017.
    Circuits, Systems, and Signal Processing: Q2 (Scimago), Q2 (Thomson Reuters), impact factor 1.998
40. Lerga, J.; Saulig, N.; Mozetič, V.: Algorithm Based on the Short-Term Rényi Entropy And IF Estimation For Noisy EEG Signals Analysis, Computers In Biology And Medicine, vol. 80, pp. 1-13, 2017.
    Computers In Biology And Medicine: Q2 (Scimago), Q2 (Thomson Reuters), impact factor 2.115
41. Šegon, G.; Lerga, J.; Sucic, V.: Improved LPA-ICI-Based Estimators Embedded in a Signal Denoising Virtual Instrument, Signal, Image and Video Processing, vol. 11, no. 2, pp. 211-217, 2017.
    Signal, Image and Video Processing: Q2 (Scimago), Q3 (Thomson Reuters), impact factor 1.643
42. Lerga, J.; Grbac E.; Sucic, V.: An ICI Based Algorithm for Fast Denoising of Video Signals, Automatika, vol. 55, no. 3, pp. 351-358, 2014.
    Automatika: Q3 (Scimago), Q4 (Thomson Reuters), impact factor 0.307
43. Sucic, V.; Lerga, J.; Boashash, B.: Multicomponent Noisy Signal Adaptive Instantaneous Frequency Estimation Using Components Time Support Information, IET Signal Processing, vol. 8, no. 3, pp. 277-284, 2014.
    IET Signal Processing: Q2 (Scimago), Q3 (Thomson Reuters), impact factor 1.495
44. Sucic, V.; Lerga, J.; Vrankic, M.: Adaptive Filter Support Selection for Signal Denoising Based on the Improved ICI Rule, Digital Signal Processing, vol. 23, no. 1, pp. 65-74, 2013.
    Digital Signal Processing: Q1 (Scimago), Q2 (Thomson Reuters), impact factor 1.495
45. Lerga, J.; Sucic, V.; Vrankić, M.: Separable Image Denoising Based on the Relative Intersection of Confidence Intervals Rule, Informatica, vol. 22, no. 3, pp. 383-394, 2011.
    Informatica: Q2 (Scimago), Q1 (Thomson Reuters), impact factor 1.627
46. Lerga J.; Sucic, V.; Boashash, B.: An Efficient Algorithm for Instantaneous Frequency Estimation of Nonstationary Multicomponent Signals in Low SNR, EURASIP Journal on Advances in Signal Processing, vol. 2011, pp. 1-16, 2011.
    EURASIP Journal on Advances in Signal Processing: Q2 (Scimago), Q3 (Thomson Reuters), impact factor 0.811
47. Lerga, J.; Sucic, V.: Nonlinear IF Estimation Based on the Pseudo WVD Adapted Using the Improved Sliding Pairwise ICI Rule, IEEE Signal Processing Letters, vol. 16, no. 11, pp. 953-956, 2009.
    IEEE Signal Processing Letters: Q1 (Scimago), Q2 (Thomson Reuters), impact factor 1.173
48. Lerga, J.; Vrankic, M.; Sucic, V.: A Signal Denoising Method Based on the Improved ICI Rule, IEEE Signal Processing Letters, vol. 15, pp. 601-604, 2008.
    IEEE Signal Processing Letters: Q1 (Scimago), Q2 (Thomson Reuters), impact factor 1.203

Radovi u drugim časopisima

1. Skoki, A.; Anić, P.; Ljubić, S.; Naglić, A.; Lerga, J.; Štajduhar, I.: Exploring the Impact of Mental Load on Physical Performance in Soccer: Unveiling Motivational Profiles through Cognitive Clustering, Elektrotehniski Vestnik, 2024, vol. 91, no. 3, pp. 108-116.
2. Lerga, J.; Lopac, N.; Bačnar, D.; Hržić, F.: Combining Time-Frequency Signal Analysis and Machine Learning with an Example in Gravitational-Wave Detection, Rad Hrvatske akademije znanosti i umjetnosti – Razred za tehničke znanosti, vol. 22, 2022, pp. 99 – 129.
3. Skoki, A.; Ljubic, S.; Lerga, J.; Štajduhar, I.: Sopele Music Dataset, Data In Brief, vol. 28, 2020, no. 104840.
   Data In Brief: WoS CC
4. Mandić, I.; Peić, H.; Lerga, J.; Štajduhar, I.: Denoising of X-ray Images Using the Adaptive Algorithm Based on the LPA-RICI Algorithm, Journal of Imaging, vol. 4, no. 2, pps. 15, 2018.
   Journal of Imaging: WoS CC
5. Bujak M; Ratkaj I.; Markova-Car E.; Jurisic D.; Horvatic A.; Vucinic S.; Lerga J.; Baus Loncar M.; Pavelic K.; Kraljevic Pavelic S.: Inflammatory Gene Expression Upon TGF-b1-Induced p38 Activationin Primary Dupuytren’s Disease Fibroblasts, Frontiers in Molecular Biosciences, vol. 2; pp. 1-9, 2015.
6. Lerga, J.; Franusic, M.; Sucic, V.: Parameters Analysis for the Time-Varying Automatically Adjusted LPA Based Estimators, Journal of Automation and Control Engineering, vol. 2, no. 3; pp. 203-208, 2014.
7. Lerga, J.; Sucic, V.; Grbac, E.: An Adaptive Method for Video Denoising Based on the ICI Rule, Engineering Review, vol. 32, no. 1; pp. 33-40, 2012.

Radovi na znanstvenim skupovima

1. lmazi, K.; Elmazi, D.; Lerga, J.: Federated Virtual Sensors for IoT: Applying Machine Learning Algorithms Through Federated Averaging and Distributed Intelligence, The 19th International Conference on Broadband and Wireless Computing, Communication and Applications (BWCCA-2024), San Benedetto del Tronto, Italy, November 2024, pp. 141-151. (Lecture Notes on Data Engineering and Communications Technologies, vol. 231, pp. 141-151, 2025.)
2. Dumenčić, S.; Družeta, S.; Lerga, J.; Višković, A.; Franki, V.: Optimizing Battery Usage in PV-BESS Systems, 8th Annual PhD Conference on Engineering and Technology “My First Conference 2024”, Rijeka, Croatia, September 2024, pp. 32.
3. Mihel, A. M.; Pečnik, Š.; Vrbančič, G.; Lerga, J.; Krvavica, N.: Employing Feature Engineering for River Stage Forecasting to Improve Hybrid Model Performance, SoftCOM 2024, Bol, Brač, Croatia, September, 2024
4. Klen, D.; Lerga, J.: Comprehensive Annotation of Underwater Data for Image Segmentation, 8th Annual PhD Conference on Engineering and Technology “My First Conference 2024”, Rijeka, Croatia, September 2024, pp. 15.
5. Žužić, L.; Hržić, F.; Lerga, J.: AI-Based Prediction of Trajectories for Personal Watercrafts, 8th Annual PhD Conference on Engineering and Technology “My First Conference 2024”, Rijeka, Croatia, September 2024, pp. 16.
6. Tus, I.; Klen, D.; Lerga, J.: Traffic Analysis Using the YOLOv8 Model for Object Detection, Baška SIF Forum 2024, Baška, Croatia, June 2024.
7. Livojević, A.; Žužić, L.; Lerga, J.: Image Compression Using Base64, BWT, RLE and LZW Coding, Baška SIF Forum 2024, Baška, Croatia, June 2024.
8. Dumenčić, S.; Lučin, I.; Alvir, M.; Lerga, J., Kranjčević, L.: Detecting Water Surface Borders on Satellite Images, MIPRO 2024 – 47th ICT and Electronics Convention, Opatija, Croatia, May, 2024.
9. Mihel, A. M.; Krvavica, N.; Lerga, J.; Oskoruš, D.: Primjena umjetne inteligencije u procjeni hidroloških parametara priobalnih rijeka, 8. hrvatska konferencija o vodama „Hrvatske vode u proizvodnji hrane i energije“, Poreč, Croatia, November 2023. pp. 205-212.
10. Klen, D.; Lerga, J.; Petrijevčanin, I.: TXT and TIF File Compression Using LZW, Huffman, and Arithmetic Coding, 10th International Conference on Marine Technology, Rijeka, Croatia, November, 2023.
11. Graf, K.; Lerga, J.; Dobraš, B., Data Collection and Hiding Capabilities of Android Stalkerware, 2023 IEEE 21st Jubilee International Symposium on Intelligent Systems and Informatics (SISY), Pula, Croatia, September, 2023., pp. 389-394.
12. Mihel, A. M.; Lenac, K.; Krvavica, N.; Lerga, J.: Discharge Forecasting in Coastal Rivers Using CNN-LSTM Hybrid Approach, ELMAR 2023, Zadar, Croatia, September 2023, pp. 1-6.
13. Bačnar, D.; Petrijevčanin, I.; Lerga, J.: Cloudization of Smart Metering and Advanced Metering Infrastructure, ELMAR 2023, Zadar, Croatia, September 2023, pp. 1-6.
14. Gašparović, B.; Mauša, G.; Rukavina, J.; Lerga, J.: Evaluating YOLOV5, YOLOV6, YOLOV7, and YOLOV8 in Underwater Environment: Is There Real Improvement?, SpliTech2023 – 8th International International Conference on Smart and Sustainable Technologies, Split – Bol, Croatia, June 2023, pp. 1-6.
15. Mihel, A. M.; Krvavica, N.; Lerga, J.: Long Short-Term Memory for Discharge Estimation in Coastal Neretva River, SpliTech2023 – 8th International International Conference on Smart and Sustainable Technologies, Split – Bol, Croatia, June 2023, pp. 1-6.
16. Otović, E.; Lerga, J.; Kalafatović, D.; Mauša, G.: Neuroevolution for the Sustainable Evolution of Neural Networks, MIPRO 2023 – 46th ICT and Electronics Convention, Opatija, Croatia, May 2023, pp. 1045-1051.
17. Vranković Lacković, A.; Lerga, J.; Tomić, M.: Local Shannon, Rényi, and Tsallis Entropy for Useful Content Extraction from Choi-Williams and Zhao-Atlas-Marks Time-Frequency Distributions, 2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), Maldives, Maldives, November 2022, pp. 1-5.
18. Bačnar, D.; Leytner, L.; Prenc, R.; Jardas, V.; Lerga, J.: On Security And Privacy In Smart Metering Systems, 2022 7th International Conference on Smart and Sustainable Technologies (SpliTech), Split / Bol, Croatia, July 2022, pp. 1-6.
19. Bačnar, D.; Leytner, L.; Stojković, N.; Lerga, J.: An Insight into Communication Technologies Utilized in Smart Metering Systems, MIPRO 2022 – 45th Jubilee International Convention, Opatija, Croatia, May 2022, pp. 32-37.
20. Skoki, A.; Štajduhar, I.; Lerga, J.: ML-Based Approach for NFL Defensive Pass Interference Prediction Using GPS Tracking Data, MIPRO 2021 – 44th International Convention on Information, Communication and Electronic Technology, Opatija, Croatia, September 2021, pp. 1199-1204.
21. Lopac, N.; Lerga, J., Jurdana, I.: On Evolutionary Metaheuristic Optimization Approaches in Data-Driven Signal Processing Techniques, 5th My First Conference, Rijeka, Croatia, September 2021, pps. 1.
22. Vranković Lacković, A.; Ipšić, I.; Lerga, J.: Entropy-Based Extraction of Useful Content from Spectrograms of Noisy Speech Signals, ELMAR 2021, Zadar, Croatia, September 2021, pp. 83-86.
23. Lopac, N.; Lerga, J.; Saulig, N.; Stanković, Lj.; Daković, M.: On Optimal Parameters for ICI-Based Adaptive Filtering Applied to the GWs in High Noise, 6th International Conference on Smart and Sustainable Technologies (SpliTech), Bol, Croatia, September 2021. pps. 6.
24. Selimović, D.; Prpić Oršić, J.; Lerga, J.: Improved Resolution of Time-Frequency Distributions in Decision Support Systems for Green and Safe Ship Routing, 14th Baška GNSS Conference: Technologies, Techniques and Applications Across PNT and The 1st Workshop on Smart Blue and Green Maritime Technologies, Baška, Croatia, May 2021, pp. 15-15.
25. Njirjak, M.; Otović, E.; Jozinović, D.; Lerga, J.; Mauša, G.; Michelini, A.; Štajduhar, I.: Machine Learning Classification of Cohen’s Class Time-Frequency Representations of Non-Stationary Signals: Effects on Earthquake Detection, EGU General Assembly 2021, April 2021, no. EGU21-9670.
26. Daković, M.; Ponjavić, M.; Stanković, I.; Lerga, J.; Ioana, C.: Time‐Frequency Analysis of Ionospheric Whistler Signals, 27th Tеlеcommunicаtions Forum, TЕLFOR 2019, Beograd, Serbia, November 2019, pp. 1-4.
27. Saulig, N.; Lerga, J.; Baracskai, Z.; Daković, M.: Adaptive Thresholding in Extracting Useful Information from Noisy Time-Frequency Distributions, 11th International Symposium on Image and Signal Processing and Analysis, ISPA2019, Dubrovnik, Croatia, September 2019, pp. 329-334.
28. Selimović, D.; Lerga, J.; Prpić-Oršić, J.: Dynamic Ship Positioning Using the Time-Frequency Distributions and Kalman Filtering, My First Conference 2019 – Book Of Abstracts, Rijeka, Croatia, September 2019. pp. 15-15.
29. Lerga, J.; Prpić-Oršić, J.: Introduction to Time-Frequency Analysis of Signals in Ship Guidance, Navigation and Control, 13th International Conference on Advanced Computational Engineering and Experimenting, ACEX2019, Athens, Greece, July 2019, pp. 21.
30. Lerga, J.; Saulig, N.; Žuškin, M.; Panjkota, A.: Denoising Accuracy of Adaptive ICI-Based Estimators With Regards to Sampling Rate, 4th International Conference on Smart and Sustainable Technologies (SpliTech), Split, Croatia, June 2019, pp. 1-6.
31. Babić Grbac, S.; Galinac Grbac, T.; Lerga, J.: Community Structure of a Complex Software-System in Evolution, 41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), Opatija, Croatia, May 2018, pp. 1467-1471.
32. Saulig, N.; Milanović, Ž.; Lerga, J.; Griparić, K.: On the Selection of the Proper Number of Classes in TFD Segmentation for Extraction of Useful Information Content from Noisy Signals, 3rd International Conference on Smart and Sustainable Technologies, Splitech 2018, Split, Croatia, June 2018, pp. 1-5.
33. Lerga, J.; Saulig, N.; Lerga, R.; Štajduhar, I.: TFD Thresholding In Estimating The Number of EEG Components And The Dominant IF Using The Short-Term Rényi Entropy, 10th International Symposium on Image and Signal Processing and Analysis – ISPA 2017, Ljubljana, Slovenia, September 2017, pp. 80-85.
34. Lerga, J.; Saulig, N.; Lerga, R.; Milanović, Ž.: Effects of TFD Thresholding On EEG Signal Analysis Based On The Local Rényi Entropy, 2nd International Multidisciplinary Conference on Computer and Energy Science, SpliTech 2017, Split, Croatia, July 2017, pp. 1-6.
35. Lerga, J.; Saulig, N.; Mozetič, V.; Lerga, R.: Number of EEG Signal Components Estimated Using the Short-Term Renyi Entropy, 1st International Multidisciplinary Conference on Computer and Energy Science, SpliTech 2016, Split, Croatia, July 2016, pp. 1-6.
36. Rešetar, D.; Marchetti-Deschmann, M.; Allmaier, G.; Lerga, J.; Peter Katalinić, J.; Kraljević Pavelić, S.: Direct MALDI-TOF Wine Fingerprinting Protocol for Assesment of White Wine Authenticity, 8th International Congress of Food Technologists, Biotechnologists and Nutritionists, Opatija, Croatia, October 2014, pp. 181-181.
37. Rešetar, D.; Marchetti-Deschmann, M.; Allmaier, G.; Lerga, J.; Peter Katalinić, J.; Kraljević Pavelić, S.: Direct MALDI-TOF Wine Fingerprinting Protocol for Assesment of White Wine Authenticity, 8th Summer Course for Mass Spectrometry in Biotechnology and Medicine, Dubrovnik, Croatia, July 2014.
38. Volarić, I.; Lerga, J.; Sucic, V.; Orovic, I.; Stankovic S.: Modification of the ICI Rule Applied to Signal Denoising, International Conference on Innovative Technologies (IN-TECH 2012), Rijeka, Croatia, September 2012, pp. 97-101.
39. Ruzic Barsic, A.; Antulov, R.; Lerga, J.; Rubeša, G.; Miletic, D.: Neurotoxicity of Psychosis In Schizophrenia: A Voxel-Based Morphometry Study, 10th Slovenian – Croatian, Hungarian Radiological Symposium, Maribor, Slovenia, November 2011.
40. Saulig, N.; Sučić V.; Lerga, J.: Component Detection Based on the Renyi Entropy in the Time-Frequency Plane, Workshop on the Time-Frequency Analysis and Applications, Kotor, Montenegro, June 2011.
41. Saulig, N.; Sučić V.; Lerga, J.: An Automatic Interference Suppression Method Based on the Wigner-Ville Distribution Geometry, Workshop on the Time-Frequency Analysis and Applications, Kotor, Montenegro, June 2011.
42. Lerga, J.; Sučić V.; Saulig, N.: Instantaneous Frequency Estimation of Multicomponent Signals, Workshop on the Time-Frequency Analysis and Applications, Kotor, Montenegro, June 2011.
43. Lerga, J.; Sučić V.; Saulig, N.: Instantaneous Frequency Estimation of Monocomponent Signals, Workshop on the Time-Frequency Analysis and Applications, Kotor, Montenegro, June 2011.
44. Rubeša, G.; Antulov, R.; Ruzic Barsic, A.; Lerga, J.; Miletic, D.: The Relationship Between Gray Matter Changes in Schizophrenia Patients and the Number of Psychotic Episodes, 19th European Congress of Psychiatry, Vienna, Austria, March 2011, pp. 952-952.
45. Grbac, E.; Lerga, J.; Sucic, V.: Video Denoising Using the ICI Method, International Conference on Innovative Technologies (IN-TECH 2011), Bratislava, Slovakia, September 2011, pp. 182-186.
46. Lerga, J.; Sucic; V.; Boashash, B.: An Improved Method for Nonstationary Signals Components Extraction Based on the ICI Rule, 7th International Workshop on Systems, Signal Processing and their Applications (WoSSPA 2011), Tipaza, Algeria, May 2011, pp. 307-310.
47. Ruzic Barsic, A.; Antulov, R.; Lerga, J.; Rubesa, G.; Miletic, D.: Gray Matter Changes In Patients With Schizophrenia: A Voxel-Based Morphometry Study, V Congress of Croatian Society of Radiology with International Participations, Opatija, Croatia, October 2010, pp. 58-58.
48. Lerga, J.; Sucic, V.: An Instantaneous Frequency Estimation Method Based on the Improved Sliding Pair-Wise ICI Rule, 10th International Conference on Information Sciences Signal Processing and their Applications (ISSPA 2010), Kuala Lumpur, Malaysia, May 2010, pp. 161-164.
49. Saulig, N.; Sucic, V.; Lerga, J.: The Wigner-Ville Distribution Masking Method for an Interference Free Signal Time-Frequency Representation, International Conference on Innovative Technologies (IN-TECH 2010), Prag, Czech Republic, September 2010, pp. 495-498.
50. Lerga, J.; Sucic, V.: Sersic D.: Image Denoising Based on the One-Dimensional LPA-RICI Method, 51st International Symposium ELMAR-2009, Zadar, Croatia, September 2009, pp. 57-60.
51. Lerga, J.; Sucic, V.: Sersic D.: Performance Analysis of the LPA-RICI Denoising Method, 6th International Symposium on Image and Signal Processing and Analysis (ISPA 2009), Salzburg, Austria, September 2009, pp. 28-33.

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Oprema

Matlab kod

• Matlab kod za rad “Extraction of Useful Information Content From Noisy Signals Based on Structural Affinity of Clustered TFDs’ Coefficients”

Voditelj prof. dr. sc. Jonatan Lerga

Email adresa jonatan.lerga@riteh.uniri.hr Telefon +385 51 651583, int. 2583 (Ured) Lokacija 1-51