Jelenlegi hely

Oniga István

Oniga István

Név: Oniga István
További profilok: MTMT
Szakterület: villamosmérnök

Teljes publikációs lista

A lista áttöltése az MTMT rendszerébe
Hiányzó közlemények feltöltése
Hitelesített Publikációs Lista igénylése
OA letöltési statisztika megtekintése
Feltöltött közlemény:
93
DEA-ban:
93
OA:
32
Publikációs időszak:
2004-2024
2024
  1. 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.
  2. 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.
    Folyóirat-mutatók:
    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.
    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)
  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.
    Folyóirat-mutatók:
    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.
    Folyóirat-mutatók:
    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.
    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., 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.
    Folyóirat-mutatók:
    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.
    Folyóirat-mutatók:
    Q2 Artificial Intelligence
    Q1 Software
  3. Alexan, A., Alexan, A., Oniga, I.: Machine learning activity detection using ML.Net.
    In: 2020 IEEE 26th International Symposium for Design and Technology in Electronic Packaging (SIITME 2020). Ed.: Gabriel Chindris, IEEE, Piscataway (NJ), 188-191, 2020. ISBN: 9781728175065
  4. Pap, I., Oniga, I., Alexan, A.: Machine Learning EEG Data Analysis For eHealth IoT System.
    In: Proceedings of 2020 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR) / Liviu Miclea, Szilárd Enyedi, et.al, IEEE, Cluj-Napoca, 1-4, 2020. ISBN: 9781728171647
  5. Alexan, A., Alexan, A., Oniga, I.: SoC based IoT sensor network hub for activity recognition using ML.net framework.
    In: 2020 IEEE 26th International Symposium for Design and Technology in Electronic Packaging (SIITME 2020). Ed.: Gabriel Chindris, IEEE, Piscataway (NJ), 184-187, 2020.
Mindet mutasd
frissítve: 2024-12-03, 01:45

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Tudományos folyóiratcikkek száma: 37
Q1 2 (5.4%)
Q2 9 (24.3%)
Q3 3 (8.1%)
Q4 2 (5.4%)
n.a. 21 (56.8%)
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