dr Goran Kvaščev, redovni profesor

Kvascev cr

e-mail: kvascev@etf.bg.ac.rs

Računski centar, Kancelarija 7 (RC-7)

Oblasti rada i interesovanja:


Licence i sertifikati:


Dosadašnje iskustvo:

 Objavljeni radovi u međunarodnim časopisima sa SCI liste

  1. M. R. Mataušek, G. S. Kvaščev, "A unified step response procedure for autotuning of PI controller and Smith predictor for stable processes", Journal of Process Control, Volume 13, Pages 787-800, December 2003. (M21)
  2. Kvascev, G.S., Djurovic, Z.M., Kovacevic, B.D., "Adaptive recursive M-robust system parameter identification using the QQ-plot approach", Control Theory & Applications, IET, Vol. 5 Issue 4, pp. 579 – 593, DOI: 10.1049/iet-cta.2009.0647, 2011. (M22)
  3. Gajic-Kvascev, M.D, Мarić-Stojanović, M., Jančić-Heinemann, R., Kvaščev G., Andrić, V., „Non-destructive characterisation and classification of ceramic artefacts using pEDXRF and statistical pattern recognition", Chemistry Central Journal, 6:102, doi:10.1186/1752-153X-6-102, 2012 (M21)
  4. Goran Kvašcev, Zeljko Djurovic, and Aleksandra Marjanovic, A Practical Solution for Control of Fan Drives Load in Thermal Power Plants, Adv. Sci. Lett. 19, 1387-1392 (2013), ISSN: 1936-6612
  5. Nasar Aldian Ambark Shashoa, Goran Kvascev, Aleksandra Marjanovic, Zeljko Djurovic, Sensor Fault Detection and Isolation in a Thermal Power Plant Steam Separator, Control Engineering Practice vol. 21, issue 7, (2013), pp. 908–916, DOI:10.1016/j.conengprac.2013.02.012 (M21)
  6. Y. Abuadlla, S. Gajin, G. Kvaščev, Z. Jovanović, Flow-Based Anomaly Intrusion Detection System Using Two Stages Neural Network, Computer Science and Information Systems, COMPUTER SCIENCE AND INFORMATION SYSTEMS, pp. 1-10, 2014. (M23)
  7. Antić S., Djurovic Z., and Kvascev G., Application of Structured and Directional Residuals for Fault Detection and Isolation on Permanent-Magnet DC Motor with Amplifier, Qual. Reliab. Eng. Int., 2016, (DOI: 10.1002/qre.1962) (ISSN 0748-8017) (M22)
  8. S. Vujnović, Ž. Đurović, G. Kvaščev, Fan mill state estimation based on acoustic signature analysis, CONTROL ENGINEERING PRACTICE, Vol. 57, pp. 29-38, 2016. (M21)
  9. V. Bobić, M. Djurić-Jovičić, N. Dragašević, M. B. Popović, V. S. Kostić, G. Kvaščev, An Expert System for Quantification of Bradykinesia Based on Wearable Inertial Sensors, SENSORS, Vol. 19, No. 11, pp. 1 - 17, Jun, 2019
  10. G. Kvaščev, Ž. Đurović, Water Level Control in the Thermal Power Plant Steam Separator Based on New PID Tuning Method for Integrating Processes, ENERGIES, Vol. 15, No. 17, pp. 6310 - 6326, Aug, 2022
  11. S. Ičagić, G. Kvaščev, A Smart Alcoholmeter Sensor Based on Deep Learning Visual Perception, SENSORS, Vol. 22, No. 19, pp. 1 - 17, Sep, 2022
  12. M. Zivkovic, N. Bacanin, M. Antonijevic, B. Nikolić, G. Kvaščev, M. Marjanovic, N. Savanovic, Hybrid CNN and XGBoost Model Tuned by Modified Arithmetic Optimization Algorithm for COVID-19 Early Diagnostics from X-ray Images, Electronics , Vol. 11, No. 3798, pp. 1 - 30, Nov, 2022
  13. D. Pavlovic, M. Czerkawski, C. Davison, O. Marko, C. Michie, R. Atkinson, V. Crnojevic, I. Andonovic, В. Рајовић, G. Kvaščev, C. Tachtatzis, Behavioural Classification of Cattle Using Neck-Mounted Accelerometer-Equipped Collars, SENSORS, Vol. 22, No. 6, pp. 1 - 18, Mar, 2022
  14. M. Bjekic, A. Lazovic, K. Venkatachalam, N. Bacanin, M. Zivkovic, G. Kvaščev, Б. Николић, Wall segmentation in 2D images using convolutional neural networks, PEERJ Computer Science, pp. 1 - 18, Sep, 2023
  15. I. Vajs, G. Kvaščev, T. Papić, М. Јанковић, Eye-tracking Image Encoding: Autoencoders for the Crossing of Language Boundaries in Developmental Dyslexia Detection, IEEE ACCESS, Vol. 11, pp. 3024 - 3033, Jan, 2023
  16. J. Kljajić, G. Kvaščev, Ž. Đurović, Reconstructing Nerve Structures from Unorganized Points, Applied Sciences, Vol. 13, No. 20, pp. 1 - 22, Oct, 2023
  17. В. Андрић, G. Kvaščev, М. Цветановић, С. Стојановић, Н. Бачанин, М. Гајић--Квашчев, Deep learning assisted XRF spectra classification, Scientific Reports, Vol. 14, No. 1, 2024
  18. A. Dodig, E. Ricci, G. Kvaščev, M. Stojkovic, A novel machine learning-based framework for the water quality parameters prediction using hybrid long short-term memory and locally weighted scatterplot smoothing methods, JOURNAL OF HYDROINFORMATICS, pp. 1 - 21, Apr, 2024