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Sütő József

Teljes publikációs lista

2024
1.
Sütő, J.: Improving the generalization capability of YOLOv5 on remote sensed insect trap images with data augmentation.
Multimed. Tools Appl. 83 (9), 27921-27934, 2024.
Folyóirat-mutatók:
Q2 Computer Networks and Communications (2023)
Q2 Hardware and Architecture (2023)
Q1 Media Technology (2023)
Q2 Software (2023)
2.
Sütő, J.: Using Data Augmentation to Improve the Generalization Capability of an Object Detector on Remote-Sensed Insect Trap Images.
Sensors. 24 (14), 1-12, (cikkazonosító: 4502), 2024.
Folyóirat-mutatók:
Q1 Analytical Chemistry (2023)
Q1 Atomic and Molecular Physics, and Optics (2023)
Q2 Biochemistry (2023)
Q2 Electrical and Electronic Engineering (2023)
Q2 Information Systems (2023)
Q1 Instrumentation (2023)
Q2 Medicine (miscellaneous) (2023)
2023
3.
Sütő, J.: Hardware and Software Support for Insect Pest Management.
Agriculture-Basel. 13 (9), 1-2, (cikkazonosító: 1818), 2023.
Folyóirat-mutatók:
Q1 Agronomy and Crop Science
Q2 Food Science
Q2 Plant Science
2022
4.
Sütő, J.: An Improved Image Enhancement Method for Traffic Sign Detection.
Electronics (Switzerland). 11 (6), 1-13, (cikkazonosító: 871), 2022.
Folyóirat-mutatók:
Q2 Computer Networks and Communications
Q2 Control and Systems Engineering
Q2 Hardware and Architecture
Q2 Electrical and Electronic Engineering
Q2 Signal Processing
5.
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
6.
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
7.
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 Electrical and Electronic Engineering
Q2 Control and Systems Engineering
Q2 Hardware and Architecture
Q2 Signal Processing
8.
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)
9.
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
10.
Sütő, J., Oniga, I. L., 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
11.
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.)
12.
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
13.
Sütő, J., Oniga, I. L.: 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
14.
Sütő, J., Oniga, I. L.: 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)
15.
Sütő, J., Oniga, I. L., 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
16.
Sütő, J., Oniga, I. L.: Music stimuli recognition in electroencephalogram signal.
Elektron. Elektrotech. 24 (4), 68-71, 2018.
Folyóirat-mutatók:
Q3 Electrical and Electronic Engineering
2017
17.
Sütő, J., Oniga, I. L., 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
18.
Sütő, J., Oniga, I. L., 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
19.
Oniga, I. L., 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
20.
Sütő, J., Oniga, I. L., 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
21.
Sütő, J., Oniga, I. L.: 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
22.
Oniga, I. L., 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
23.
Sütő, J., Oniga, I. L., 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
24.
Sütő, J., Oniga, I. L., 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
25.
Oniga, I. L., 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
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