Tudóstér has been updated, the site is accessible at https://tudoster.unideb.hu

Majoros Tamás

University of Debrecen

Doctoral Council of Natural Sciences

Doctoral School of Informatics

2017-

Publication list

Tudóstér co-authors statistics filterable publication list

Export to RIS (EndNote, Mendeley, RefWorks, Zotero etc.)

Upload publications

Request certified publication list

Uploaded publications:

Publications in DEA:

OA:

Date range:

2018-2023

2023

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

doi DEA Scopus

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.

doi DEA WoS Scopus

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.

doi DEA WoS Scopus

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.

doi DEA WoS Scopus

2022

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)

DEA

Xie, Y., Majoros, T., Oniga, I. L.: FPGA-Based Hardware Accelerator on Portable Equipment for EEG Signal Patterns Recognition.
Electronics (Switzerland). 11 (15), 1-15, 2022.

doi DEA WoS Scopus

Journal metrics:

Q2 Control and Systems Engineering

Q2 Computer Networks and Communications

Q2 Electrical and Electronic Engineering

Q2 Hardware and Architecture

Q2 Signal Processing

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, 2022.

doi DEA WoS Scopus

Journal metrics:

Q2 Control and Systems Engineering

Q2 Computer Networks and Communications

Q2 Electrical and Electronic Engineering

Q2 Hardware and Architecture

Q2 Signal Processing

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

doi DEA Scopus

2021

Majoros, T., Oniga, I. L.: 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

doi DEA Scopus

10.

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.)

DEA Scopus

11.

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

doi DEA Scopus

12.

Yu, X., 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

doi DEA Scopus

13.

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

doi DEA WoS Scopus

Journal metrics:

Q3 Computer Science (miscellaneous)

Q4 Mathematics (miscellaneous)

2019

14.

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.

doi DEA WoS Scopus

Journal metrics:

Q2 Electrical and Electronic Engineering

Q2 Nuclear and High Energy Physics

Q2 Nuclear Energy and Engineering

15.

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, (article identifier: 022301), 2019.

doi DEA WoS Scopus

16.

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.)

DEA

17.

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

doi DEA

18.

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.

doi DEA WoS Scopus

19.

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.

doi DEA WoS Scopus

2018

20.

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.

doi DEA WoS Scopus

Journal metrics:

Q2 Electrical and Electronic Engineering

Q2 Nuclear and High Energy Physics

Q2 Nuclear Energy and Engineering

21.

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)

DEA

22.

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

doi DEA