Tudóstér: Sütő József publikációi

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feltöltött közlemény: 31 Open Access: 14
2023
  1. Sütő, J.: Hardware and Software Support for Insect Pest Management.
    Agriculture-Basel. 13 (9), 1-2, 2023.
    Folyóirat-mutatók:
    Q2 Agronomy and Crop Science (2022)
    Q2 Food Science (2022)
    Q2 Plant Science (2022)
  2. Sütő, J.: Improving the generalization capability of YOLOv5 on remote sensed insect trap images with data augmentation.
    Multimed. Tools Appl. [Epub ahead of print] 1-14, 2023.
    Folyóirat-mutatók:
    Q2 Computer Networks and Communications (2022)
    Q2 Hardware and Architecture (2022)
    Q1 Media Technology (2022)
    Q2 Software (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
    Q2 Control and Systems Engineering
    Q2 Electrical and Electronic Engineering
    Q2 Hardware and Architecture
    Q2 Signal Processing
  2. Sütő, J.: A Novel Plug-in Board for Remote Insect Monitoring.
    Agriculture-Basel. 12 (11), 1-16, 2022.
    Folyóirat-mutatók:
    Q2 Agronomy and Crop Science
    Q2 Food Science
    Q2 Plant Science
  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
    Q2 Food Science
    Q2 Plant Science
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
  4. Sütő, J., Oniga, I.: Testing artificial neural network for gesture recognition.
    In: Abstracts and Pre-Proceedings 9th Internetional Conference on Applied Mathematics, Editura BiblioPhil, Baia Mare, 21-22, 2013. ISBN: 9786069309483
  5. Sütő, J., Oniga, I.: Testing artificial neural network for hand gesture recognition.
    Creat. Math. Inform. 22 (2), 223-228, 2013.
2012
  1. Sütő, J., Máté, Á., Végh, J., Oniga, I.: Developing a general purpose data collector framework for robots.
    In: Carpathian Control Conference (ICCC), 2012 13th International, IEEE, Piscataway, 690-693, 2012.
  2. Sütő, J., Oniga, I.: Remote controlled data collector robot.
    Carpathian J. Electr. Comp. Eng. 5 (1), 117-120, 2012.
feltöltött közlemény: 31 Open Access: 14
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