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Informatikai Tudományok Doktori Iskola

Informatikai Tudományok Doktori Iskola
DE
Informatikai Tudományok Doktori Iskola
Feltöltött közlemény:
948
DEA-ban:
946
OA:
273
Publikációs időszak:
2005-2026
2026
1.
Suta, M. J., Csík, A., Bodzás, S., Nemes, D., Balogh, G., Béres, M., Manó, S., Csámer, L., Gáll, J., Blum, I. R., Hegedűs, C.: A Comparative Evaluation of Vat-Photopolymerization and PolyJet 3D Printers Using Multiple Measurement Methods.
J. Dent. 166, 1-32, (cikkazonosító: 106352), 2026.
Folyóirat-mutatók:
D1 Dentistry (miscellaneous) (2025)
2.
Ahmed, A. H., Tomán, H.: A hybrid framework for UAV obstacle avoidance integrating reactive sensing, LiDAR planning, and deep reinforcement learning in real time.
Results in Engineering. 30, 1-14, (cikkazonosító: 110150), 2026.
Folyóirat-mutatók:
D1 Engineering (miscellaneous) (2025)
3.
Düzenli, K., Al-Bazooni, A. M. R., Al-Hamad, A., Gilányi, A.: A systematic review of utilizing extended reality technologies for historical site preservation and visualization.
Result Engin. 30, 1-19, (cikkazonosító: 110592), 2026.
Folyóirat-mutatók:
D1 Engineering (miscellaneous) (2025)
4.
Al-Hamadani, M. N. A., Szilágyi, P., Szemán-Nagy, G., Hajdu, A., Harangi, B.: B16BL6: A public time-lapse microscopy dataset and data-centric annotation pipeline for cell and division detection.
Array. "Accepted by Publisher" 30, 1-16, (cikkazonosító: 100946), 2026.
Folyóirat-mutatók:
Q1 Computer Science (miscellaneous) (2025)
5.
Odeh, O. F. M., Bite, M., Kocsis, D.: Case Study: Noise Source Analysis Through Environmental Noise Measurements.
In: Proceedings of the 11th Convention of the European Acoustics Association Forum Acusticum, EuroNoise 2025. Eds.: Daniel de la Prida, Jaime Ramis, María Machimbarrena, European Acoustics Association, Malaga, 943-947, 2026. ISBN: 9788487985355
6.
Mohammed, A. A., Al, S. Z. A., Abd, Z. M. M., Abduljabbar, Z. A., Aldarbandee, M., Jaber, H., Alshuwaili, D. G. H., Szathmáry, L., Nyangaresi, V. O., Ali, A. H., Neamah, H. A.: Enhanced Arrhythmia Diagnosis Using a Hybrid Deep Learning Model: A CNN-LSTM-GRU Approach on ECG Data.
Biosens Bioelectron: X. [Epub ahead of print], 1-19, (cikkazonosító: 100767), 2026.
Folyóirat-mutatók:
Q2 Biomedical Engineering (2025)
Q2 Biophysics (2025)
Q2 Biotechnology (2025)
Q2 Electrochemistry (2025)
7.
Al-Hamad, A., Csernoch, M., Gilányi, A.: Enhancing warehouse safety and resilience through virtual reality: A user-centered design approach to training feasibility.
Journal of Safety Science and Resilience. [Epub ahead of print], 1-20, (cikkazonosító: 100305), 2026.
8.
Alfayyadh, F. K. J., Gilányi, A.: Exploring student engagement and reuse intention in a VR-based art exhibition.
Comput. Hum. Behav. Rep. 21, 1-11, (cikkazonosító: 100925), 2026.
Folyóirat-mutatók:
Q1 Applied Psychology (2025)
Q1 Artificial Intelligence (2025)
Q1 Cognitive Neuroscience (2025)
Q1 Computer Science Applications (2025)
Q1 Human-Computer Interaction (2025)
Q1 Neuroscience (miscellaneous) (2025)
9.
Terdik, G., Dawod, A. B. A.: Extending GLASSO to Non-Gaussian Settings: Sparse Concentration Estimation via EM Algorithm.
Comput. Stat. "Accepted by Publisher", 1-33, 2026.
Folyóirat-mutatók:
Q2 Computational Mathematics (2025)
Q2 Statistics and Probability (2025)
Q2 Statistics, Probability and Uncertainty (2025)
10.
Odeh, O. F. M., Kocsis, D.: From models to reality: how CNOSSOS-EU and ISO 9613-2 perform against measured road traffic noise.
Noise Mapping. 13 (1), 1-12, (cikkazonosító: 20250023), 2026.
Folyóirat-mutatók:
Q2 Acoustics and Ultrasonics (2025)
Q3 Management, Monitoring, Policy and Law (2025)
Q2 Urban Studies (2025)
11.
Odeh, O. F. M., Khayyat, A., Kocsis, D.: Key Updates In ISO 9613-2:2024 - What's New In Outdoor Noise Prediction Standards?.
In: Proceedings of the 11th Convention of the European Acoustics Association Forum Acusticum, EuroNoise 2025. Eds.: Daniel de la Prida, Jaime Ramis, María Machimbarrena, European Acoustics Association, Malaga, 1259-1264, 2026. ISBN: 9788487985355
12.
Oláh, N., Girászi, T., Vajda, M. P., Huszti, A.: NFC-PUF Three-Pass Authentication for Supply Blockchains.
In: Security and Management, Wireless Networks, Software Engineering Research and Practice : 24th International Conference, SAM 2025, 24th International Conference, ICWN 2025, and 23rd International Conference, SERP 2025, Held as Part of the World Congress in Computer Science, Computer Engineering, and Applied Computing, CSCE 2025, Las Vegas, NV, USA, July 21-24, 2025, Revised Selected Papers. Eds.: Kevin Daimi, Hamid R. Arabnia, Leonidas Deligiannidis, Springer Cham, Switzerland, 171-192, 2026, (Communications in Computer and Information Science - CCIS; 2937.) ISBN: 9783032222077
13.
Matonya, M. M., Budai, I.: Object-Centric Process Mining for Operational Traceability and Quality Optimization in Manufacturing: Genetic-Inductive Miner approach.
Proc Computer Sci. 9 (1), 1-11, (cikkazonosító: 2), 2026.
14.
Nemes, D., Mikuska, R., Hajdu, S., Korondi, P.: Poly Topic Model and Control of a Friction-Enhanced Quarter Vehicle (Education of Datadriven Modelling).
In: 2025 IEEE 12th International Conference on E-Learning in Industrial Electronics (ICELIE) /, IEEE, Piscataway, 1-6, 2026. ISBN: 9798331508012
15.
Dawod, A. B. A., Terdik, G.: Railway Track Quality Inspection via GLasso with Zerocrossing Segmentation.
In: , Springer, New York, 244-250, 2026, (Lecture Notes in Networks and Systems, ISSN 2367-3389 ; 1768.) ISBN: 9783032138972
16.
Dawod, A. B. A., Kovács, B., Eltayeb, O. A. M., Ahmed, A. E. M.: Semiparametric Gaussian Copula Graphical Modeling for Identifying Nutrient Interaction Networks in Baobab Leaves: Implications for Healthy Nutrient Source Analysis.
PLOS One. [Under review], 1-22, 2026.
Folyóirat-mutatók:
Q1 Multidisciplinary (2025)
17.
Masasila, N. H., Fazekas, I.: Strong law of large numbers for [phi]-sub-Gaussian random variables under sub-linear expectation spaces.
Probab. Uncertain. Quant. Risk. [Submitted], 1-10, 2026.
18.
Masasila, N. H., Fazekas, I.: Strong Laws of Large Numbers for General Random Variables Under Conditional Sub-Additive Expectation and Capacity.
Mathematics. 14 (5), 1-19, (cikkazonosító: 775), 2026.
Folyóirat-mutatók:
Q2 Computer Science (miscellaneous) (2025)
Q2 Engineering (miscellaneous) (2025)
Q2 Mathematics (miscellaneous) (2025)
19.
Al-Hamad, A., Gilányi, A.: TAP express: A simplified think-aloud protocol for evaluating traditional and virtual training and education.
Soc. Sci. Human. Open. 13, 1-13, (cikkazonosító: 102641), 2026.
Folyóirat-mutatók:
Q2 Decision Sciences (miscellaneous) (2025)
Q2 Psychology (miscellaneous) (2025)
Q1 Social Sciences (miscellaneous) (2025)
20.
Kigodi, O. J., Masasila, N. H., Faisal, M., Badruddin, I. A., Zedan, A. S. A. H., Chacha, C. S.: Thermal and Entropic Analysis of Viscous Fluid Flow in a Porous Channel With Convective Heat Transfer and Magnetic Field Aspects.
Heat Trans. 1, 1-11, 2026.
Folyóirat-mutatók:
Q2 Condensed Matter Physics (2025)
Q2 Fluid Flow and Transfer Processes (2025)
21.
Al-Bazooni, A. M. R., Gilányi, A.: Towards Automatic VR Scene Generation for Safety Training Scenarios Using Manually Annotated 3D Object and Spatial Relation Data.
In: 13th International Conference on Applied Informatics (ICAI 2026): Abstracts, //icai.uni-eszterhazy.hu/2026/abstracts/ : Eszterházy Károly Catholic University, https, 1-3, 2026.
22.
Oláh, G., Budai, M., Mizsei, E., Bán, M.: Whiteboard photography: A field method with automated image processing to measure vertical vegetation features for ecological research in open habitats.
Ecol. Inform. 93, 1-9, (cikkazonosító: 103540), 2026.
Folyóirat-mutatók:
D1 Applied Mathematics (2025)
D1 Computational Theory and Mathematics (2025)
D1 Computer Science Applications (2025)
Q1 Ecological Modeling (2025)
D1 Ecology (2025)
D1 Ecology, Evolution, Behavior and Systematics (2025)
D1 Modeling and Simulation (2025)
2025
23.
Al-Hamad, A., Gilányi, A.: A data-analytics framework for optimizing user-centered virtual reality training.
Decis. Anal. J. 16, 1-16, (cikkazonosító: 100610), 2025.
Folyóirat-mutatók:
D1 Analysis
D1 Applied Mathematics
Q1 Decision Sciences (miscellaneous)
D1 Modeling and Simulation
24.
Fazekas, I., Fórián, L.: A family of network evolution models with moderate density.
Stat. Pap. 66 (5), 1-18, (cikkazonosító: 105), 2025.
Folyóirat-mutatók:
Q2 Statistics and Probability
Q2 Statistics, Probability and Uncertainty
25.
Talbi, D., Gál, Z.: AI-Driven Insights into B5G/6G MAC Mechanisms: A Comprehensive Analysis.
Internet of Things. 31, 1-43, (cikkazonosító: 101571), 2025.
Folyóirat-mutatók:
Q1 Artificial Intelligence
Q1 Computer Science Applications
D1 Computer Science (miscellaneous)
D1 Engineering (miscellaneous)
D1 Hardware and Architecture
D1 Information Systems
Q1 Management of Technology and Innovation
D1 Software
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