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Oniga István

Oniga István

Name: Oniga István
Other profiles: MTMT
Profession: electrical engineer

Publication list

Uploaded publications:
96
Publications in DEA:
96
OA:
35
Date range:
2004-2024
2024
  1. Xie, Y., Oniga, I.: A Comprehensive Review of Hardware Acceleration Techniques and Convolutional Neural Networks for EEG Signals.
    Sensors. 24 (17), 1-28, 2024.
    Journal metrics:
    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)
  2. Pap, I., Oniga, I.: eHealth Assistant AI Chatbot Using a Large Language Model to Provide Personalized Answers through Secure Decentralized Communication.
    Sensors. 24 (18), 1-16, 2024.
    Journal metrics:
    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)
  3. Xie, Y., Oniga, I.: Enhancing Motor Imagery Classification in Brain-Computer Interfaces Using Deep Learning and Continuous Wavelet Transform.
    Appl. Sci.-Basel. 14 (19), 1-16, 2024.
    Journal metrics:
    Q3 Computer Science Applications (2023)
    Q2 Engineering (miscellaneous) (2023)
    Q2 Fluid Flow and Transfer Processes (2023)
    Q2 Instrumentation (2023)
    Q2 Materials Science (miscellaneous) (2023)
    Q3 Process Chemistry and Technology (2023)
  4. Baranyai, D., Oniga, I., Gyöngyösi, B., Ujvári, B., Mohamed, A.: Module Tester for Positron Emission Tomography and Particle Physics.
    Electronics (Switzerland). 13 (15), 1-15, 2024.
  5. Alexan, A., Alexan, A., Oniga, I.: Real-Time Machine Learning for Human Activities Recognition Based on Wrist-Worn Wearable Devices.
    Appl. Sci.-Basel. 14 (1), 1-20, 2024.
    Journal metrics:
    Q3 Computer Science Applications (2023)
    Q2 Engineering (miscellaneous) (2023)
    Q2 Fluid Flow and Transfer Processes (2023)
    Q2 Instrumentation (2023)
    Q2 Materials Science (miscellaneous) (2023)
    Q3 Process Chemistry and Technology (2023)
2023
  1. Xie, Y., Oniga, I.: Classification of Motor Imagery EEG Signals Based on Data Augmentation and Convolutional Neural Networks.
    Sensors. 23 (4), 1-16, 2023.
    Journal metrics:
    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)
  2. Oniga, I., Pap, I., 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
2022
  1. Alexan, A., Alexan, A., Oniga, I.: 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
  2. Pap, I., Oniga, I.: A Review of Converging Technologies in eHealth Pertaining to Artificial Intelligence.
    Int. J. Environ. Res. Public Health. 19 (18), 1-15, 2022.
    Journal metrics:
    Q2 Health, Toxicology and Mutagenesis
    Q2 Pollution
    Q2 Public Health, Environmental and Occupational Health
  3. Majoros, T., Oniga, I.: 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)
  4. Xie, Y., Majoros, T., Oniga, I.: FPGA-Based Hardware Accelerator on Portable Equipment for EEG Signal Patterns Recognition.
    Electronics (Switzerland). 11 (15), 1-15, 2022.
    Journal metrics:
    Q2 Computer Networks and Communications
    Q2 Control and Systems Engineering
    Q2 Electrical and Electronic Engineering
    Q2 Hardware and Architecture
    Q2 Signal Processing
  5. Majoros, T., Oniga, I.: 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, 2022.
    Journal metrics:
    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., Alexan, A., Oniga, I.: 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
  7. Alexan, A., Alexan, A., Oniga, I.: 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
  8. Alexan, A., Alexan, A., Oniga, I.: 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
2021
  1. Majoros, T., Oniga, I.: 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
  2. Xie, Y., Oniga, I., 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.)
  3. Majoros, T., Oniga, I.: 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
  4. Mándi, Á., Jeney, M., Rózsa, D., Oniga, I.: Hardware accelerated image processing on FPGA based PYNQ-Z2 board.
    Carpath. J. Electron. Comput. Eng. 14 (1), 20-23, 2021.
  5. Yu, X., Majoros, T., Oniga, I.: 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
  6. Majoros, T., Oniga, I., Xie, Y.: Motor imagery EEG classification using feedforward neural network.
    Ann. Math. Inform. 53 235-244, 2021.
    Journal metrics:
    Q3 Computer Science (miscellaneous)
    Q4 Mathematics (miscellaneous)
  7. Alexan, A., Alexan, A., Oniga, I.: 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.)
  8. Alexan, A., Alexan, A., Oniga, I.: 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.)
2020
  1. Xie, Y., Oniga, I.: A Review of Processing Methods and Classification Algorithm for EEG Signal.
    Carpath. J. Electron. Comput. Eng. 13 (1), 23-29, 2020.
  2. 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.
    Journal metrics:
    Q2 Artificial Intelligence
    Q1 Software
Show all
updated: 2025-01-26, 01:52

SCImago quartiles of
scientific journal articles

Number of scientific articles: 40
Q1 4 (10%)
Q2 10 (25%)
Q3 3 (7.5%)
Q4 2 (5%)
N/A 21 (52.5%)
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SCImago subject areas and categories

Computer Science (14)
Computer Science (miscellaneous) (4)
Computer Networks and Communications (3)
Computer Science Applications (3)
Information Systems (3)
Artificial Intelligence (2)
Hardware and Architecture (2)
Signal Processing (2)
Computational Theory and Mathematics (1)
Software (1)
Engineering (12)
Electrical and Electronic Engineering (9)
Control and Systems Engineering (3)
Engineering (miscellaneous) (2)
Biomedical Engineering (1)
Physics and Astronomy (6)
Instrumentation (6)
Atomic and Molecular Physics, and Optics (3)
Medicine (4)
Medicine (miscellaneous) (3)
Public Health, Environmental and Occupational Health (1)
Biochemistry, Genetics and Molecular Biology (3)
Biochemistry (3)
Chemistry (3)
Analytical Chemistry (3)
Chemical Engineering (2)
Fluid Flow and Transfer Processes (2)
Process Chemistry and Technology (2)
Materials Science (2)
Materials Science (miscellaneous) (2)
Mathematics (2)
Mathematics (miscellaneous) (2)
Environmental Science (1)
Health, Toxicology and Mutagenesis (1)
Pollution (1)
Neuroscience (1)
Cognitive Neuroscience (1)
Psychology (1)
Experimental and Cognitive Psychology (1)

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Journals

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Other co-authors

Alexan, Alexandru Iulian
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Alexan, Alexandru Iulian
Pap, Iuliu Alexandru
Iulian, Alexan Alexandru
Sebestyén Pál Gheorghe