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Sütő József

University of Debrecen Faculty of Informatics

Department of IT Systems and Networking

2024-

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Publications in DEA:

OA:

Date range:

2012-2025

2025

Gao, T., Sütő, J.: Acceleration of Image Classification and Object Tracking by the Intel Neural Compute Stick 2 with Power Efficiency Evaluation on Raspberry Pi 4B.
Sensors. 25 (6), 1-16, (article identifier: 1794), 2025.

doi DEA

Journal metrics:

Q1 Analytical Chemistry (2024)

Q2 Atomic and Molecular Physics, and Optics (2024)

Q2 Biochemistry (2024)

Q2 Electrical and Electronic Engineering (2024)

Q2 Information Systems (2024)

Q1 Instrumentation (2024)

Q2 Medicine (miscellaneous) (2024)

2024

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.

doi DEA WoS Scopus

Journal metrics:

Q2 Computer Networks and Communications

Q2 Hardware and Architecture

Q1 Media Technology

Q2 Software

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, (article identifier: 4502), 2024.

doi DEA

Journal metrics:

Q1 Analytical Chemistry

Q2 Atomic and Molecular Physics, and Optics

Q2 Biochemistry

Q2 Electrical and Electronic Engineering

Q2 Information Systems

Q1 Instrumentation

Q2 Medicine (miscellaneous)

2023

Sütő, J.: Hardware and Software Support for Insect Pest Management.
Agriculture-Basel. 13 (9), 1-2, (article identifier: 1818), 2023.

doi DEA WoS Scopus

Journal metrics:

Q1 Agronomy and Crop Science

Q2 Food Science

Q2 Plant Science

2022

Sütő, J.: An Improved Image Enhancement Method for Traffic Sign Detection.
Electronics (Switzerland). 11 (6), 1-13, (article identifier: 871), 2022.

doi DEA WoS Scopus

Journal metrics:

Q2 Computer Networks and Communications

Q2 Control and Systems Engineering

Q2 Electrical and Electronic Engineering

Q2 Hardware and Architecture

Q2 Signal Processing

Sütő, J.: A Novel Plug-in Board for Remote Insect Monitoring.
Agriculture-Basel. 12 (11), 1-16, (article identifier: 1897), 2022.

doi DEA WoS Scopus

Journal metrics:

Q2 Agronomy and Crop Science

Q2 Food Science

Q2 Plant Science

Sütő, J.: Codling Moth Monitoring with Camera-Equipped Automated Traps: A Review.
Agriculture-Basel. 12 (10), 1721-, 2022.

doi DEA WoS Scopus

Journal metrics:

Q2 Agronomy and Crop Science

Q2 Food Science

Q2 Plant Science

2021

Sütő, J.: Embedded System-Based Sticky Paper Trap with Deep Learning-Based Insect-Counting Algorithm.
Electronics (Switzerland). 10 (15), 1-13, 2021.

doi DEA WoS Scopus

Journal metrics:

Q2 Computer Networks and Communications

Q2 Hardware and Architecture

Q2 Control and Systems Engineering

Q2 Electrical and Electronic Engineering

Q2 Signal Processing

Sütő, J.: Real-Time Lane Line Tracking Algorithm to Mini Vehicles.
Transp. Telecommun. 22 (4), 461-470, 2021.

doi DEA WoS Scopus

Journal metrics:

Q4 Computer Science Applications

Q3 Engineering (miscellaneous)

10.

Sütő, J.: The effect of hyperparameter search on artificial neural network in human activity recognition.
Open Comp. Sci. 11 (1), 411-422, 2021.

doi DEA WoS Scopus

Journal metrics:

Q2 Computer Science (miscellaneous)

2020

11.

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.

doi DEA WoS Scopus

Journal metrics:

Q2 Artificial Intelligence

Q1 Software

12.

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.)

DEA Scopus

13.

Sütő, J.: Plant leaf recognition with shallow and deep learning: a comprehensive study.
Intell. Data Anal. 24 (6), 1311-1328, 2020.

doi DEA WoS Scopus

Journal metrics:

Q4 Artificial Intelligence

Q3 Computer Vision and Pattern Recognition

Q4 Theoretical Computer Science

2019

14.

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.

doi DEA WoS Scopus

Journal metrics:

Q3 Artificial Intelligence

Q3 Cognitive Neuroscience

Q3 Experimental and Cognitive Psychology

2018

15.

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.

doi DEA WoS Scopus

Journal metrics:

Q2 Computer Science (miscellaneous)

16.

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

doi DEA

17.

Sütő, J., Oniga, I. L.: Music stimuli recognition in electroencephalogram signal.
Elektron. Elektrotech. 24 (4), 68-71, 2018.

doi DEA WoS Scopus

Journal metrics:

Q3 Electrical and Electronic Engineering

2017

18.

Sütő, J., Oniga, I. L., Pop-Sitar, P.: Feature analysis to human activity recognition.
Int. J. Comput. Commun. Control. 12 (1), 116-130, 2017.

DEA WoS Scopus

Journal metrics:

Q3 Computational Theory and Mathematics

Q2 Computer Networks and Communications

Q3 Computer Science Applications

19.

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

doi DEA

2016

20.

Oniga, I. L., Sütő, J.: Activity recognition in adaptive assistive systems using artificial neural networks.
Elektron. Elektrotech. 22 (1), 68-72, 2016.

doi DEA WoS Scopus

Journal metrics:

Q2 Electrical and Electronic Engineering

21.

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

doi DEA Scopus

2015

22.

Sütő, J., Oniga, I. L.: A new relation between "Twiddle Factors" in the fast Fourier transformation.
Elektron. Elektrotech. 21 (4), 56-59, 2015.

doi DEA

Journal metrics:

Q2 Electrical and Electronic Engineering

23.

Oniga, I. L., Sütő, J.: Optimal recognition method of human activities using artificial neural networks.
Meas. Sci. Rev. 15 (6), 323-327, 2015.

doi DEA

Journal metrics:

Q3 Biomedical Engineering

Q2 Control and Systems Engineering

Q3 Instrumentation

24.

Sütő, J., Oniga, I. L., Buchman, A.: Real time human activity monitoring.
Ann. Math. et Inf. 44, 187-196, 2015.

DEA

Journal metrics:

Q4 Computer Science (miscellaneous)

Q4 Mathematics (miscellaneous)

2014

25.

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

doi DEA