Publications - Department of IT Systems and Networks

Selected recent publications

  • Y. Xie, I. Oniga: Classification of Motor Imagery EEG Signals Based on Data Augmentation and Convolutional Neural Networks. Sensors. 23 (4), 1-16, (2023).
  • J. Sütő: Hardware and Software Support for Insect Pest Management. Agriculture-Basel. 13 (9), 1-2, 2023.
  • J. Sütő: Improving the generalization capability of YOJ. LOv5 on remote sensed insect trap images with data augmentation. Multimed. Tools Appl. [Epub ahead of print] 1-14, 2023.
  • D. Talbi, Z. Gál: Decomposition Based Congestion Analysis of the Communication in B5G/6G TeraHertz High-Speed Networks. Infocommun. J. 15 (Special), 43-48, 2023.
  • A. Aldabbas, Z. Gál: Recurrent neural network variants based model for Cassini-Huygens spacecraft trajectory modifications recognition. Neural Comput. Appl. 2022 13575-13598 (2022).
  • D. Efrosinin, N. Stepanova, J. Sztrik: Robustness of the c[mu]-Rule for an Unreliable Single-Server Two-Class Queueing System with Constant Retrial Rates. Mathematics. 11 (18), 1-14, 2023.
  • A. Melikov, L. Poladova, S. Edayapurath, J. Sztrik: Single-Server Queuing-Inventory Systems with Negative Customers and Catastrophes in the Warehouse. Mathematics. 11 (10), 1-16, 2023.
  • A. Melikov, R. Mirzayev, J. Sztrik: Double-Sources Queuing-Inventory Systems with Finite Waiting Room and Destructible Stocks. Mathematics. 11 (1), 226-, 2023.
  • L. R. Kolozsvári, T. Bérczes, A. Hajdu, R. Gesztelyi, A. Tiba, I. Varga, A. B. Al-Tammemi, G. J. Szőllősi, Sz. Harsányi, Sz. Garbóczy, J. Zsuga, Predicting the epidemic curve of the coronavirus (SARS-CoV-2) disease (COVID-19) using artificial intelligence: An application on the first and second waves, Informatics in Medicine Unlocked 25 p. 100691 (2021).
  • I. Varga, G. Kocsis, Statistical Properties of VANET-based Information, Advances in Systems Science and Applications 20, (4) pp. 36-44 (2021).
  • I. Varga, A complex SIS spreading model in ad hoc networks with reduced communication efforts, Advances in Complex Systems 23 (4), 2050009 (2020)
  • G. Kocsis, I. Varga, The effect of moving agents on the network formation in smart-city applications, Computer modelling and new technologies 23 (1) pp. 44-49 (2019).
  • F. Kun, G. Pál, I. Varga, I. G. Main, Effect of disorder on the spatial structure of damage in slowly compressed porous rocks, Philosophical Transactions of the Royal Society A 377, 20170393 (2018).
  • Aldabbas, A., Gál, Z., Ghori, K., Imran, M., Shoaib, M.: Deep Learning-Based Approach for Detecting Trajectory Modifications of Cassini-Huygens Spacecraft. IEEE Access. 9 39111-39125, 2021.
  • Gál, Z., Kocsis, G., Tajti, T., Tornai, R.: Performance evaluation of massively parallel and high speed connectionless vs. connection oriented communication sessions. Adv. Eng. Softw. 157-158 1-20, 2021.
  • Béla Almási, Gábor Lencse, Szabolcs Szilágyi, Investigating the Multipath Extension of the GRE in UDP Technology, Computer Communications, Vol. 103, pp. 29-38, (2017).
  • Szabolcs Szilágyi, Ferenc Fejes, Róbert Katona, Throughput Performance Comparison of MPT-GRE and MPTCP in the Fast Ethernet IPv4/IPv6 Environment, Journal of Telecommunications and Information Technology, Vol. 3, No. 2, pp. 53-59, (2018).
  • Szabolcs Szilágyi, Imre Bordán, Lajos Harangi, Benjámin Kiss, MPT-GRE: A Novel Multipath Communication Technology for the Cloud, 9th IEEE International Conference on Cognitive Infocommunications : CogInfoCom 2018 Proceedings, pp. 81–86, DOI: 10.1109/CogInfoCom.2018.8639941, Piscataway (NJ), Amerikai Egyesült Államok : IEEE Computational Intelligence Society (2018).
  • Szilagyi, Sz., Bordan, I., Investigating the Throughput Performance of the MPT-GRE Network Layer Multipath Library in Emulated WAN Environment, Acta Technica Jaurinensis, in press, (2022).
  • J. Sütő. Embedded system-based sticky paper trap with deep learning-based insect-counting algorithm, Electronics, vol. 10, 15, (2021).
  • J. Sütő. Real-time lane line tracking algorithm to mini-vehicles, Transportation and Telecommunication Journal, vol. 22, 4, (2021).
  • J. Sütő. The effect of hyperparameter search on artificial neural network in human activity recognition, Open Computer Science, vol. 11, (2021).
  • J. Sütő. Plant leaf recognition with shallow and deep learning: A comprehensive study, Intelligent Data Analysis, vol. 24, 6, (2020).
  • X Yu, T Majoros, S. Oniga, Hardware Implementation of CNN Based on FPGA for EEG Signal Patterns Recognition, 2021 International Conference on e-Health and Bioengineering (EHB), pp. 1-4 (2021).
  • T Majoros, S. Oniga, Comparison of Motor Imagery EEG Classification using Feedforward and Convolutional Neural Network, IEEE EUROCON 2021-19th International Conference on Smart Technologies, pp. 25-29 (2021).
  • T. Majoros and S. Oniga, "Activity recognition using consumer-grade EEG device", 2021 13th International Conference on Electronics, Computers and Artificial Intelligence (ECAI), pp. 1-6 (2021).
  • József Sütő, Istvan Oniga, Claudiu Lung, Ioan Orha, Comparison of offline and real-time human activity recognition results using machine learning techniques, NEURAL COMPUTING & APPLICATIONS 32: pp.15673–15686, 14 p. (2020).
  • József  Sütő, Istvan Oniga, Efficiency investigation from shallow to deep neural network techniques in human activity recognition, COGNITIVE SYSTEMS RESEARCH 54 pp. 37-49. , 13 p. (2019) .
  • József Sütő, Istvan Oniga, Efficiency investigation of artificial neural networks in human activity recognition, JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING 9 : 4 pp. 1049-1060. , 12 p. (2018).
  • József Sütő, Istvan Oniga, Music stimuli recognition in electroencephalogram signal, ELEKTRONIKA IR ELEKTROTECHNIKA 24 : 4 pp. 68-71. , 4 p. (2018).
  • Sütő József, Istvan Oniga, Petrica Pop-Sitar, Feature Analysis to Human Activity Recognition, INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL 12 : 1 pp. 116-130. , 15 p. (2017).
  • Istvan Oniga, Sütő József, Activity Recognition in Adaptive Assistive Systems Using Artificial Neural Networks, ELEKTRONIKA IR ELEKTROTECHNIKA 22 : 1 pp. 68-72. , 5 p. (2016).
  • Istvan Oniga, Sütő József, Optimal Recognition Method of Human Activities Using Artificial Neural Networks, MEASUREMENT SCIENCE REVIEW 15 : 6 pp. 323-327. , 5 p. (2015).
  • T. V. Do, P. Wuchner, T. Bérczes, J. Sztrik, H. Meer, A new finite-source queueing model for mobile cellular networks applying spectrum renting Asia-Pacific Journal of Operational Research, 31 (2), 14400004_1 (2014).
  • Attila Kuki, Béla Almási, Tamás Bérczes, János Sztrik, Modeling a QoS Classified Communication in a Multiuser Wi-Fi Environment InfoCommunications Journal, VI (3), pp. 10-15 (2014).
  • Tamás Bérczes, Béla Almási, Attila Kuki, János Sztrik, Modeling the RF Communication in Sensor Networks by using Finite-Source Retrial Queueing System Scientific Bulletin of Politechnica University of Timisoara Transactions on Automatic Control and Computer Science, 58(72), pp. 183-189 (2013).
  • Gergely Kocsis, Imre Varga, Agents based simulation of spreading in social-systems of temporarily active actors, Lecture Notes in Computer Science: Cellular Automata, 8751, pp 330-338 (2014).
  • Gergely Kocsis, Ferenc Kun, Competition of information channels in the spreading of innovations, Physical Review E, 84, 026111 (2011).
  • Ferenc Kun, Gergely Kocsis, János Farkas, Cellular automata for the spreading of technologies in socio-economic systems, Physica A, 383, 660 (2007).
  • József Sütő, Stefan Oniga, A New Relation between “Twiddle Factors” in the Fast Fourier Transformation, Elektronika ir Elektrotechnika, Vol 21, No 4, pp, 56-59 (2015).
  • József Sütő, Stefan Oniga, Attila Buchman, Real time human activity monitoring, Annales Mathematicae et Informaticae, Vol.44, pp. 187-196 (2015).
  • Zoltán Gál, Béla Almási, Tamás Dabóczi, Rolland Vida, Stefan Oniga, Sándor Baran, István Farkas, Internet of Things: Application areas and Research Results of the FIRST Project, Infocommunications Journal, Vol. VI, No 3, pp. 37-44 (2014).
  • Béla Almási, Gábor Lencse, Szabolcs Szilágyi, Investigating the Multipath Extension of the GRE in UDP Technology, Computer Communications, Vol. 103, pp. 29-38, ISSN 0140-3664, DOI: 10.1016/j.comcom.2017.02.002 (2017).
    MPT-GRE: A Novel Multipath Communication Technology for the Cloud, CogInfoCom 2018 – The 9th IEEE International Conference on Cognitive Infocommunications, 22-24August, 2018, Budapest, Hungary.    .
  • Ádám Fazekas, László Tóth,Filtering Chromatic Aberration for Wide Acceptance Angle Electrostatic Lenses, IEEE Transactions on Image Processing, Vol. 23, No 7, pp. 2834 – 2841 (2014)
  • H Matsuda, K Goto, L Tóth, M Morita, S Kitagawa, F Matsui, M Hashimoto, C Sakai, T Matsushita, H Daimon, Development of display-type ellipsoidal mesh analyzer: Computational evaluation and experimental validation, Journal of Electron Spectroscopy and Related Phenomena, Vol. 195, pp. 382-398 (2014)
  • László Tóth, Hiroyuki Matsuda, Fumihiko Matsui, Kentaro Goto, Hiroshi Daimon, Details of 1pi sr Wide Acceptance Angle Electrostatic Lens for Electron Energy and Two-Dimensional Angular Distribution Analysis combined with Real Space Imaging, Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Vol. 661, pp.98-105 (2011)
  • I. Varga, A. Némethy, G. Kocsis, Agent-based simulation of information spreading in VANET, Lecture Notes in Computer Science, Volume 11115, pp. 166-174 (2018).
  • Ferenc Kun, Imre Varga, Sabine Lennartz-Sassinek, Ian G. Main, Rupture Cascades in a Discrete Element Model of a Porous Sedimentary Rock, Physical Review Letters 112, 065501 (2014).
Last update: 2024. 01. 31. 09:51