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

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.

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.

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.

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)

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.

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.

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

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

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.)

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

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

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

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.

PHENIX Collaboration, Sun, Z.: Beam Energy and Centrality Dependence of Direct-Photon Emission from Ultrarelativistic Heavy-Ion Collisions.
Phys. Rev. Lett. 123 (2), 1-10, 2019.

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.)

Majoros, T., Ujvári, B., Oniga, I.: EEG data processing with neural network.
Carpath. J. Electron. Comput. Eng. 12 (2), 33-36, 2019.

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.

Aidala, C., 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, 2019.

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.

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)

Majoros, T., Ujvári, B.: Stability study of the neural network at particle physics detectors.
Carpath. J. Electron. Comput. Eng. 11 (1), 48-52, 2018.