Tudóstér: Majoros Tamás publikációi

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feltöltött közlemény: 22 Open Access: 9
2023
  1. 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
  2. PHENIX Collaboration: Improving constraints on gluon spin-momentum correlations in transversely polarized protons via midrapidity open-heavy-flavor electrons in p^[uparrow] plus p collisions at root{s}=200 GeV.
    Phys. Rev. D. 107 (5), 1-8, 2023.
  3. PHENIX Collaboration: Low-pT direct-photon production in Au+Au collisions at root{s_NN} = 39 and 62.4 GeV.
    Phys. Rev. C. 107 (2), 1-8, 2023.
  4. PHENIX Collaboration, Orosz, M.: Measurements of second-harmonic Fourier coefficients from azimuthal anisotropies in p plus p, p plus Au, d + Au, and 3He+Au collisions at root sNN=200 GeV.
    Phys. Rev. C. 107 (2), 1-8 (cikkazonosító)024907, 2023.
  5. PHENIX Collaboration: Transverse single-spin asymmetry of midrapidity [tau]^0 and [eta] mesons in p+Au and p+Al collisions at root{s_NN}=200 GeV.
    Phys. Rev. D. 107 (11), 1-9, 2023.
2022
  1. 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)
  2. 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
  3. 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
  4. Kovács, L., Baranyai, D., Girászi, T., Majoros, T., Kovács, Á., Vágner, M., Palkovics, D., Bérczes, T.: Sensor design and integration into small sized autonomous vehicle.
    In: 2022 IEEE 2nd Conference on Information Technology and Data Science (CITDS). Ed.: Fazekas István, IEEE, Piscataway, 171-176, 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. 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
  5. 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)
2019
  1. Bíró, B., Dávid, G., Fenyvesi, A., Haggerty, J., Kierstead, J., Mannel, E., Majoros, T., Molnár, J., Nagy, F., Stoll, S., Ujvári, B., Woody, C.: A Comparison of the Effects of Neutron and Gamma Radiation in Silicon Photomultipliers.
    IEEE Trans. Nucl. Sci. 66 (7), 1833-1839, 2019.
    Folyóirat-mutatók:
    Q2 Electrical and Electronic Engineering
    Q2 Nuclear and High Energy Physics
    Q2 Nuclear Energy and Engineering
  2. PHENIX Collaboration, Sun, Z.: Beam Energy and Centrality Dependence of Direct-Photon Emission from Ultrarelativistic Heavy-Ion Collisions.
    Phys. Rev. Lett. 123 (2), 1-8, 2019.
  3. Majoros, T., Ujvári, B., Oniga, I.: EEG adatok feldolgozása neurális hálózattal.
    In: ENELKO 2019, SzámOkt 2019, Erdélyi Magyar Műszaki Tudományos Társaság, Temesvár, 208-213, 2019, (ISSN 1842-4546 ; 29.)
  4. Majoros, T., Ujvári, B., Oniga, I.: EEG data processing with neural network.
    Carpath. J. Electron. Comput. Eng. 12 (2), 33-36, 2019.
  5. Aidala, C., PHENIX Collaboration: Measurement of charm and bottom production from semileptonic hadron decays in p + p collisions at root{s} = 200 GeV.
    Phys. Rev. D. 99 (9), 1-21, 2019.
2018
  1. Aidala, C., Bailey, V., Beckman, S., Belmont, R., Biggs, C., Blackburn, J., Boose, S., Chiu, M., Connors, M., Desmond, E., Franz, A., Haggerty, J., He, X., Higdon, M., Huang, J., Kauder, K., Kistenev, E., LaBounty, J., Lajoie, J., Lenz, M., Lenz, W., Li, S., Loggins, V., Mannel, E., Majoros, T., McCumber, M., Nagle, J., Phipps, M., Pinkenburg, C., Polizzo, S., Pontieri, C., Purschke, M., Putschke, J., Sarsour, M., Rinn, T., Ruggiero, R., Sen, A., Sickles, A., Skoby, M., Smiga, J., Sobel, P., Stankus, P., Stoll, S., Sukhanov, A., Thorsland, E., Toldo, F., Towell, R., Ujvári, B., Vazquez-Carson, S., Woody, C.: Design and Beam Test Results for the sPHENIX Electromagnetic and Hadronic Calorimeter Prototypes.
    IEEE Trans. Nucl. Sci. 65 (12), 2901-2919, 2018.
    Folyóirat-mutatók:
    Q2 Electrical and Electronic Engineering
    Q2 Nuclear and High Energy Physics
    Q2 Nuclear Energy and Engineering
  2. Majoros, T., Ujvári, B., Oniga, I.: Részecskefizikai detektorban alkalmazott neurális hálózat stabilitási vizsgálata.
    In: ENELKO 2018 XIX. Nemzetközi Energetika-Elektrotechnika Konferencia, SzámOkt 2018 XXVIII. Nemzetközi Számítástechnika és Oktatás Konferencia. Szerk.: Biró Károly-Ágoston, Sebestyén-Pál György, Szabó Loránd, Erdélyi Magyar Műszaki Tudományos Társaság, Tusnádfürdő, 262-267, 2018, (ISSN 1842-4546)
  3. Majoros, T., Ujvári, B.: Stability study of the neural network at particle physics detectors.
    Carpath. J. Electron. Comput. Eng. 11 (1), 48-52, 2018.
feltöltött közlemény: 22 Open Access: 9
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