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Sütő József

Sütő József

Név: Sütő József
Affiliáció: Debreceni Egyetem. Informatikai Kar. Informatikai Rendszerek és Hálózatok Tanszék / University of Debrecen. Faculty of Informatics. Department of IT Systems and Networking
További profilok: MTMT
Fokozat
  • PhD, Debreceni Egyetem (2018)
Szakterület: programtervező informatikus

Teljes publikációs lista

A lista áttöltése az MTMT rendszerébe
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OA letöltési statisztika megtekintése
Feltöltött közlemény:
29
DEA-ban:
29
OA:
11
Publikációs időszak:
2012-2022
2022
  1. Sütő, J.: An Improved Image Enhancement Method for Traffic Sign Detection.
    Electronics (Switzerland). 11 (6), 1-13, 2022.
    Folyóirat-mutatók:
    Q2 Computer Networks and Communications (2021)
    Q2 Control and Systems Engineering (2021)
    Q2 Electrical and Electronic Engineering (2021)
    Q2 Hardware and Architecture (2021)
    Q2 Signal Processing (2021)
  2. Sütő, J.: A Novel Plug-in Board for Remote Insect Monitoring.
    Agriculture-Basel. 12 (11), 1897-, 2022.
    Folyóirat-mutatók:
    Q2 Agronomy and Crop Science (2021)
    Q2 Food Science (2021)
    Q2 Plant Science (2021)
  3. Sütő, J.: Codling Moth Monitoring with Camera-Equipped Automated Traps: A Review.
    Agriculture-Basel. 12 (10), 1721-, 2022.
    Folyóirat-mutatók:
    Q2 Agronomy and Crop Science (2021)
    Q2 Food Science (2021)
    Q2 Plant Science (2021)
2021
  1. Sütő, J.: Embedded System-Based Sticky Paper Trap with Deep Learning-Based Insect-Counting Algorithm.
    Electronics (Switzerland). 10 (15), 1-13, 2021.
    Folyóirat-mutatók:
    Q2 Computer Networks and Communications
    Q2 Control and Systems Engineering
    Q2 Electrical and Electronic Engineering
    Q2 Hardware and Architecture
    Q2 Signal Processing
  2. Sütő, J.: Real-Time Lane Line Tracking Algorithm to Mini Vehicles.
    Transp. Telecommun. 22 (4), 461-470, 2021.
    Folyóirat-mutatók:
    Q4 Computer Science Applications
    Q3 Engineering (miscellaneous)
  3. Sütő, J.: The effect of hyperparameter search on artificial neural network in human activity recognition.
    Open Comp. Sci. 11 (1), 411-422, 2021.
    Folyóirat-mutatók:
    Q2 Computer Science (miscellaneous)
2020
  1. Sütő, J., Oniga, I., Lung, C., Orha, I.: Comparison of offline and real-time human activity recognition results using machine learning techniques.
    Neural Comput. Appl. 32 (20), 15673-15686, 2020.
    Folyóirat-mutatók:
    Q2 Artificial Intelligence
    Q1 Software
  2. Sütő, J., Jámbor, Z.: Music Stimuli Recognition from EEG Signals with EMOTIV EPOC Headset.
    In: Proceedings of the 11th International Conference on Applied Informatics (ICAI 2020). Ed.: by Gergely Kovásznai, István Fazekas, Tibor Tómács, CEUR, Eger, 309-317, 2020, (CEUR Worksh o p Proceedings, ISSN 1613-0073 ; 2650.)
  3. Sütő, J.: Plant leaf recognition with shallow and deep learning: a comprehensive study.
    Intell. Data Anal. 24 (6), 1311-1328, 2020.
    Folyóirat-mutatók:
    Q4 Artificial Intelligence
    Q3 Computer Vision and Pattern Recognition
    Q4 Theoretical Computer Science
2019
  1. Sütő, J., Oniga, I.: Efficiency investigation from shallow to deep neural network techniques in human activity recognition.
    Cogn. Syst. Res. 54 37-49, 2019.
    Folyóirat-mutatók:
    Q3 Artificial Intelligence
    Q3 Cognitive Neuroscience
    Q3 Experimental and Cognitive Psychology
2018
  1. Sütő, J., Oniga, I.: Efficiency investigation of artificial neural networks in human activity recognition.
    J. Ambient Intell. Humaniz. Comput. 9 (4), 1049-1060, 2018.
    Folyóirat-mutatók:
    Q2 Computer Science (miscellaneous)
  2. Sütő, J., Oniga, I., Pop Sitar, P.: Music stimuli recognition from electroencephalogram signal with machine learning.
    In: 2018 7th International Conference on Computers Communications and Control (ICCCC) : proceedings ISBN: 9781538619346
  3. Sütő, J., Oniga, I.: Music stimuli recognition in electroencephalogram signal.
    Elektron. Elektrotech. 24 (4), 68-71, 2018.
    Folyóirat-mutatók:
    Q3 Electrical and Electronic Engineering
2017
  1. Sütő, J., Oniga, I., Pop-Sitar, P.: Feature analysis to human activity recognition.
    Int. J. Comput. Commun. Control. 12 (1), 116-130, 2017.
    Folyóirat-mutatók:
    Q3 Computational Theory and Mathematics
    Q2 Computer Networks and Communications
    Q3 Computer Science Applications
  2. Sütő, J., Oniga, I., Lung, C., Orha, I.: Recognition rate difference between real-time and offline human activity recognition.
    In: Internet of Things for the Global Community : Proceedings : July 10-12, 2017, Madeira-Portugal / Fernando Morgado-Dias, IEEE, Danvers, 13-18, 2017. ISBN: 9781538620649
2016
  1. Oniga, I., Sütő, J.: Activity recognition in adaptive assistive systems using artificial neural networks.
    Elektron. Elektrotech. 22 (1), 68-72, 2016.
    Folyóirat-mutatók:
    Q2 Electrical and Electronic Engineering
  2. Sütő, J., Oniga, I., Pop Sitar, P.: Comparison of wrapper and filter feature selection algorithms on human activity recognition.
    In: 2016 6th International Conference on Computers Communications & Control (ICCCC) : This edition of conference is dedicated to the 110th anniversary of Grigore C. Moisil (1906-1973) Romanian Mathematician, Computer Pioneer Award of IEEE Computer Society (1996 - posthumously). Eds.: I. Dzitac, F.G. Filip, M.J. Manolescu, IEEE, Piscataway, 124-129, 2016. ISBN: 9781509017355
2015
  1. Sütő, J., Oniga, I.: A new relation between "Twiddle Factors" in the fast Fourier transformation.
    Elektron. Elektrotech. 21 (4), 56-59, 2015.
    Folyóirat-mutatók:
    Q2 Electrical and Electronic Engineering
  2. Oniga, I., Sütő, J.: Optimal recognition method of human activities using artificial neural networks.
    Meas. Sci. Rev. 15 (6), 323-327, 2015.
    Folyóirat-mutatók:
    Q3 Biomedical Engineering
    Q2 Control and Systems Engineering
    Q3 Instrumentation
  3. Sütő, J., Oniga, I., Buchman, A.: Real time human activity monitoring.
    Ann. Math. et Inf. 44 187-196, 2015.
    Folyóirat-mutatók:
    Q4 Computer Science (miscellaneous)
    Q4 Mathematics (miscellaneous)
2014
  1. Sütő, J., Oniga, I., Hegyesi, G.: A simple fast Fourier transformation algorithm to microcontrollers and mini computers.
    In: 18th International Conference on Intelligent Engineering Systems (INES), 2014 : proceedings. Ed.: A. Szakal, IEEE, [Pistacaway], 61-65, 2014. ISBN: 9781479946150
  2. Oniga, I., Sütő, J.: Human activity recognition using neural networks.
    In: Proceedings of the 2014 15th International Carpathian Control Conference (ICCC). Ed.: Ivo Petrás, Igor Podlubny, Ján Kacur, Radim Farana, IEEE, Piscataway, 403-406, 2014. ISBN: 9781479935284
2013
  1. Sütő, J., Oniga, I.: A new C++ implemented feed forward neural network simulator.
    Carpathian J. Electr. Comp. Eng. 6 (2), 3-6, 2013.
  2. Sütő, J., Oniga, I.: FPGA implemented reduced Ethernet MAC.
    In: 4th IEEE International Conference on Cognitive Infocommunications CogInfoCom 2013 : Proceedings, December 2-5, 2013 Budapest, Hungary. Ed.: Péter Baranyi, IEEE, Danvers, 29-32, 2013. ISBN: 9781479915466
  3. Sütő, J., Oniga, I., Orha, I.: Microcontroller based health monitoring system.
    In: Proceedings of the 2013 IEEE 19th International Symposium for Design and Technology in Electronic Packaging, IEEE, [Piscataway], 24-27, 2013. ISBN: 9781479915552
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frissítve: 2023-02-05, 01:49

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Tudományos folyóiratcikkek száma: 19
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Computer Science (10)
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Hardware and Architecture (2)
Signal Processing (2)
Computational Theory and Mathematics (1)
Computer Vision and Pattern Recognition (1)
Software (1)
Engineering (7)
Electrical and Electronic Engineering (5)
Control and Systems Engineering (3)
Biomedical Engineering (1)
Engineering (miscellaneous) (1)
Agricultural and Biological Sciences (2)
Agronomy and Crop Science (2)
Food Science (2)
Plant Science (2)
Mathematics (2)
Mathematics (miscellaneous) (1)
Theoretical Computer Science (1)
Neuroscience (1)
Cognitive Neuroscience (1)
Physics and Astronomy (1)
Instrumentation (1)
Psychology (1)
Experimental and Cognitive Psychology (1)

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