Sütő József

1.

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 WoS Scopus

Journal metrics:

Q1 Analytical Chemistry

Q2 Atomic and Molecular Physics, and Optics

Q2 Biochemistry

Q1 Electrical and Electronic Engineering

Q2 Information Systems

Q1 Instrumentation

Q2 Medicine (miscellaneous)

2.

Sütő, J., Kumar, R. S.: EEG-Based Music Stimuli Classification Using Artificial Neural Network and the OpenBCI CytonDaisy System.
Technologies. 13 (9), 1-12, (article identifier: 426), 2025.

doi DEA WoS

Journal metrics:

Q1 Computer Science (miscellaneous)

3.

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

4.

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 WoS Scopus

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)

5.

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

6.

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

7.

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

8.

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

9.

Sütő, J.: Embedded System-Based Sticky Paper Trap with Deep Learning-Based Insect-Counting Algorithm.
Electronics (Switzerland). 10 (15), 1-13, (article identifier: 1754), 2021.

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

10.

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)

11.

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)

12.

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

13.

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

14.

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

15.

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

16.

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)

17.

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

18.

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

19.

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

20.

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

21.

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

22.

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

23.

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

24.

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

25.

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)

Sütő József

Publication list