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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
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, (article identifier: 052012), 2023.
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, (article identifier: 024914), 2023.
PHENIX Collaboration,
Lovász, K.:
Transverse single-spin asymmetry of charged hadrons at forward and backward rapidity in polarized p plus p, p plus Al, and p plus Au collisions at root{S_NN}=200 GeV.
Phys. Rev. D. 108 (7), 1-13, (article identifier: 072016), 2023.
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, (article identifier: 112004), 2023.
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)
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, (article identifier: 2293), 2022.
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
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.)
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
Xie, Y.,
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
Bíró, B.,
Dávid, G.,
Fenyvesi, A.,
Haggerty, J. S.,
Kierstead, J.,
Mannel, E. J.,
Majoros, T.,
Molnár, J.,
Nagy, F.,
Stoll, S.,
Ujvári, B.,
Woody, C. L.:
A Comparison of the Effects of Neutron and Gamma Radiation in Silicon Photomultipliers.
IEEE Trans. Nucl. Sci. 66 (7), 1833-1839, 2019.
Majoros, T.,
Ujvári, B.,
Oniga, I. L.:
EEG adatok feldolgozása neurális hálózattal.
In: ENELKO 2019, SzámOkt 2019, Erdélyi Magyar Műszaki Tudományos Társaság, Temesvár, 208-213, 2019, (ISSN 1842-4546 ; 29.)
Aidala, C. A.,
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, (article identifier: 092003), 2019.
Aidala, C. A.,
PHENIX Collaboration:
Measurements of [mu][mu] pairs from open heavy flavor and Drell-Yan in p + p collisions at root{s} = 200 GeV.
Phys. Rev. D. 99 (7), 1-41, (article identifier: 072003), 2019.
Aidala, C. A.,
Bailey, V.,
Beckman, S.,
Belmont, R.,
Biggs, C.,
Blackburn, J.,
Boose, S.,
Chiu, M.,
Connors, M.,
Desmond, E.,
Franz, A.,
Haggerty, J. S.,
He, X.,
Higdon, M. M.,
Huang, J.,
Kauder, K.,
Kistenev, E.,
LaBounty, J.,
Lajoie, J. G.,
Lenz, M.,
Lenz, W.,
Li, S.,
Loggins, V. R.,
Mannel, E. J.,
Majoros, T.,
McCumber, M. P.,
Nagle, J. L.,
Phipps, M.,
Pinkenburg, C.,
Polizzo, S.,
Pontieri, C.,
Purschke, M. L.,
Putschke, J.,
Sarsour, M.,
Rinn, T.,
Ruggiero, R.,
Sen, A.,
Sickles, A. M.,
Skoby, M. J.,
Smiga, J.,
Sobel, P.,
Stankus, P. W.,
Stoll, S.,
Sukhanov, A.,
Thorsland, E.,
Toldo, F.,
Towell, R. S.,
Ujvári, B.,
Vazquez-Carson, S.,
Woody, C. L.:
Design and Beam Test Results for the sPHENIX Electromagnetic and Hadronic Calorimeter Prototypes.
IEEE Trans. Nucl. Sci. 65 (12), 2901-2919, 2018.
Majoros, T.,
Ujvári, B.,
Oniga, I. L.:
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)
