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.

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, 2024.

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

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

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

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

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

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

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

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.

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.)

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

Sütő, J., Oniga, I.: Efficiency investigation from shallow to deep neural network techniques in human activity recognition.
Cogn. Syst. Res. 54 37-49, 2019.

Sütő, J., Oniga, I.: Efficiency investigation of artificial neural networks in human activity recognition.
J. Ambient Intell. Humaniz. Comput. 9 (4), 1049-1060, 2018.

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

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

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

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

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

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

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

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

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

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

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