Oniga István

1.

Abdulameer, N. J., Oniga, I. L., Ujvári, B.: Advanced Big Data Solutions for Detector Calibrations for High-Energy Physics.
Electronics (Switzerland). 14 (10), 1-28, (cikkazonosító: 2088), 2025.

DEA WoS Scopus

Folyóirat-mutatók:

Q2 Computer Networks and Communications (2024)

Q2 Control and Systems Engineering (2024)

Q2 Electrical and Electronic Engineering (2024)

Q2 Hardware and Architecture (2024)

Q2 Signal Processing (2024)

2.

Xie, Y., Oniga, I. L.: A Comprehensive Review of Hardware Acceleration Techniques and Convolutional Neural Networks for EEG Signals.
Sensors. 24 (17), 1-28, (cikkazonosító: 5813), 2024.

doi DEA WoS Scopus

Folyóirat-mutatók:

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)

3.

Pap, I. A., Oniga, I. L.: eHealth Assistant AI Chatbot Using a Large Language Model to Provide Personalized Answers through Secure Decentralized Communication.
Sensors. 24 (18), 1-16, (cikkazonosító: 6140), 2024.

doi DEA WoS Scopus

Folyóirat-mutatók:

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)

4.

Xie, Y., Oniga, I. L.: Enhancing Motor Imagery Classification in Brain-Computer Interfaces Using Deep Learning and Continuous Wavelet Transform.
Appl. Sci.-Basel. 14 (19), 1-16, (cikkazonosító: 8828), 2024.

doi DEA WoS Scopus

Folyóirat-mutatók:

Q2 Computer Science Applications

Q2 Engineering (miscellaneous)

Q2 Fluid Flow and Transfer Processes

Q2 Instrumentation

Q2 Materials Science (miscellaneous)

Q2 Process Chemistry and Technology

5.

Baranyai, D., Oniga, I. L., Gyöngyösi, B., Ujvári, B., Mohamed, A.: Module Tester for Positron Emission Tomography and Particle Physics.
Electronics (Switzerland). 13 (15), 1-15, (cikkazonosító: 3066), 2024.

doi DEA WoS Scopus

Folyóirat-mutatók:

Q2 Computer Networks and Communications

Q2 Control and Systems Engineering

Q2 Electrical and Electronic Engineering

Q2 Hardware and Architecture

Q2 Signal Processing

6.

Alexan, A. I., Alexan, A., Oniga, I. L.: Real-Time Machine Learning for Human Activities Recognition Based on Wrist-Worn Wearable Devices.
Appl. Sci.-Basel. 14 (1), 1-20, (cikkazonosító: 329), 2024.

doi DEA Scopus

Folyóirat-mutatók:

Q2 Computer Science Applications

Q2 Engineering (miscellaneous)

Q2 Fluid Flow and Transfer Processes

Q2 Instrumentation

Q2 Materials Science (miscellaneous)

Q2 Process Chemistry and Technology

7.

Xie, Y., Oniga, I. L.: Classification of Motor Imagery EEG Signals Based on Data Augmentation and Convolutional Neural Networks.
Sensors. 23 (4), 1-16, (cikkazonosító: 1932), 2023.

doi DEA WoS Scopus

Folyóirat-mutatók:

Q1 Analytical Chemistry

Q1 Atomic and Molecular Physics, and Optics

Q2 Biochemistry

Q2 Electrical and Electronic Engineering

Q2 Information Systems

Q1 Instrumentation

Q2 Medicine (miscellaneous)

8.

Oniga, I. L., Pap, I. A., Majoros, T.: Implementation considerations for an intelligent embedded e-Health system and experimental results for EEG-based activity recognition.
In: Smart Embedded Systems: Advances and Applications / Arun Sinha, Abhishek Sharma, Luiz Alberto Pasini Melek, Daniele Caviglia, Crc Press-Taylor & Francis Group, Boca Raton, 33-55, 2023. ISBN: 9781032404172

doi DEA Scopus

9.

Alexan, A., Alexan, A. I., Oniga, I. L.: Activity recognition using unsupervised learning.
In: 2022 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR) / Szilard Enyedi, IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, Piscataway, 1-6, 2022. ISBN: 9781665479332

doi DEA Scopus

10.

Pap, I. A., Oniga, I. L.: A Review of Converging Technologies in eHealth Pertaining to Artificial Intelligence.
Int. J. Environ. Res. Public Health. 19 (18), 1-15, (cikkazonosító: 11413), 2022.

doi DEA WoS Scopus

Folyóirat-mutatók:

Q2 Health, Toxicology and Mutagenesis

Q2 Pollution

Q2 Public Health, Environmental and Occupational Health

11.

Majoros, T., Oniga, I. L.: Elképzelt motoros tevékenységek EEG-alapú osztályozása neurális hálózatok használatával.
In: XXIII. Energetika-Elektrotechnika - ENELKO és XXXII. Számítástechnika és Oktatás : SzámOkt Multi-konferencia. Szerk.: Sebestyén-Pál György, Szabó Loránd, Erdélyi Magyar Műszaki Tudományos Társaság, Kolozsvár, 162-167, 2022, (ISSN 2734-6757)

DEA

12.

Xie, Y., Majoros, T., Oniga, I. L.: FPGA-Based Hardware Accelerator on Portable Equipment for EEG Signal Patterns Recognition.
Electronics (Switzerland). 11 (15), 1-15, (cikkazonosító: 2410), 2022.

doi DEA WoS Scopus

Folyóirat-mutatók:

Q2 Computer Networks and Communications

Q2 Control and Systems Engineering

Q2 Electrical and Electronic Engineering

Q2 Hardware and Architecture

Q2 Signal Processing

13.

Majoros, T., Oniga, I. L.: Overview of the EEG-Based Classification of Motor Imagery Activities Using Machine Learning Methods and Inference Acceleration with FPGA-Based Cards.
Electronics (Switzerland). 11 (15), 1-14, (cikkazonosító: 2293), 2022.

doi DEA WoS Scopus

Folyóirat-mutatók:

Q2 Computer Networks and Communications

Q2 Control and Systems Engineering

Q2 Electrical and Electronic Engineering

Q2 Hardware and Architecture

Q2 Signal Processing

14.

Alexan, A., Alexan, A. I., Oniga, I. L.: Single user activity recognition with Density Activity Abstraction Graphics Algorithm.
In: Proceedings of 2022 IEEE 2nd Conference on Information Technology and Data Science (CITDS) / Fazekas Istvan, IEEE, Piscataway, 7-12, 2022. ISBN: 9781665496537

doi DEA

15.

Alexan, A. I., Alexan, A., Oniga, I. L.: Smartwatch activity recognition feature comparison using ML.net.
In: 2022 23rd IEEE International Conference on Automation, Quality and Testing, Robotics (THETA, AQTR) / Szilard Enyedi, IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, Piscataway, 1-6, 2022. ISBN: 9781665479332

doi DEA Scopus

16.

Alexan, A. I., Alexan, A., Oniga, I. L.: Smart watch activity recognition using plot image analysis.
In: Proceedings of 2022 IEEE 2nd Conference on Information Technology and Data Science (CITDS) / István Fazekas, IEEE, Piscataway (NJ), 1-6, 2022. ISBN: 9781665496537

doi DEA Scopus

17.

Majoros, T., Oniga, I. L.: Activity recognition using consumer-grade EEG device.
In: 13th International Conference on Electronics, Computers and Artificial Intelligence (ECAI), IEEE, Pitesti, 1-6, 2021. ISBN: 9781665425346

doi DEA Scopus

18.

Xie, Y., Oniga, I. L., Majoros, T.: Comparison of EEG Data Processing Using Feedforward and Convolutional Neural Network.
In: Proceedings of 1st Conference on Information Technology and Data Science (CITDS 2020) / editors István Fazekas, András Hajdu, Tibor Tómács, CEUR, Debrecen, 279-289, 2021, (CEUR Workshop Proceedings, ISSN 1613-0073 ; 2874.)

DEA Scopus

19.

Majoros, T., Oniga, I. L.: Comparison of Motor Imagery EEG Classification using Feedforward and Convolutional Neural Network.
In: IEEE EUROCON 2021 - 19th International Conference on Smart Technologies. Ed.: Mariya Antyufeyeva, IEEE, Lviv, 25-29, 2021. ISBN: 9781665432993

doi DEA Scopus

20.

Mándi, Á., Jeney, M., Rózsa, D., Oniga, I. L.: Hardware accelerated image processing on FPGA based PYNQ-Z2 board.
Carpath. J. Electron. Comput. Eng. 14 (1), 20-23, 2021.

doi DEA

21.

Yu, X., Majoros, T., Oniga, I. L.: Hardware Implementation of CNN Based on FPGA for EEG Signal Patterns Recognition.
In: International Conference on e-Health and Bioengineering (EHB). Ed.: Grigore T. Popa, IEEE, Iasi, 1-4, 2021. ISBN: 9781665440004

doi DEA Scopus

22.

Majoros, T., Oniga, I. L., Xie, Y.: Motor imagery EEG classification using feedforward neural network.
Ann. Math. Inform. 53, 235-244, 2021.

doi DEA WoS Scopus

Folyóirat-mutatók:

Q3 Computer Science (miscellaneous)

Q4 Mathematics (miscellaneous)

23.

Alexan, A., Alexan, A. I., Oniga, I. L.: Multi-resident location detecting in smart home.
In: Proceedings of 1st Conference on Information Technology and Data Science (CITDS 2020) / editors István Fazekas, András Hajdu, Tibor Tómács, CEUR, Debrecen, 32-38, 2021, (CEUR Workshop Proceedings, ISSN 1613-0073 ; 2874.)

DEA

24.

Alexan, A. I., Alexan, A., Oniga, I. L.: Smartwatch Activity Recognition Using Ml.net Framework.
In: Proceedings of 1st Conference on Information Technology and Data Science (CITDS 2020) / editors István Fazekas, András Hajdu, Tibor Tómács, CEUR, Debrecen, 39-45, 2021, (CEUR Workshop Proceedings, ISSN 1613-0073 ; 2874.)

DEA

25.

Xie, Y., Oniga, I. L.: A Review of Processing Methods and Classification Algorithm for EEG Signal.
Carpath. J. Electron. Comput. Eng. 13 (1), 23-29, 2020.

doi DEA

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