Informatikai Tudományok Doktori Iskola

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.

doi DEA

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.

doi DEA WoS

Folyóirat-mutatók:

D1 Engineering (miscellaneous) (2025)

3.

Düzenli, K., Al-Hamad, A., Gilányi, A.: A python pipeline for interactive visualization of systematic literature review data.
SoftwareX. 35, 1-5, (cikkazonosító: 102773), 2026.

doi DEA WoS Scopus

Folyóirat-mutatók:

Q2 Computer Science Applications (2025)

Q2 Software (2025)

4.

Wedyan, M., SafaA, D., Al-Hamad, A., Gilányi, A.: A Review of Emotion-Aware Adaptive Virtual Reality Games for Player Emotional Profiling and Intelligent Personalization.
In: Proceedings of the 17th International Conference on Information and Communication Systems (ICICS '26). Eds.: Muneer Bani Yassein; Ahmad M. Mustafa; Qasem Abu Al-Haija, Association for Computing Machinery, New York, 1-6, 2026. ISBN: 9798400723506

DEA Scopus

5.

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.

doi DEA WoS Scopus

Folyóirat-mutatók:

D1 Engineering (miscellaneous) (2025)

6.

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. 30, 1-16, (cikkazonosító: 100946), 2026.

doi DEA WoS Scopus

Folyóirat-mutatók:

Q1 Computer Science (miscellaneous) (2025)

7.

Pogorelskiy, S., Rybakova, A., Kocsis, I.: BIM-Based Design Quality Indicator for Modular Construction.
Appl. Sci.-Basel. 16 (16), 1-21, (cikkazonosító: 7937), 2026.

doi DEA WoS Scopus

Folyóirat-mutatók:

Q2 Computer Science Applications (2025)

Q2 Engineering (miscellaneous) (2025)

Q2 Fluid Flow and Transfer Processes (2025)

Q2 Instrumentation (2025)

Q2 Materials Science (miscellaneous) (2025)

Q3 Process Chemistry and Technology (2025)

8.

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

doi DEA

9.

Ahmed, A. E. M., Dawod, A. B. A., Eltayeb, O. A. M., Abdi, I. H., Mohammed, E. A. H., Kovács, B.: Elemental Composition of Adansonia digitata L. Bark from Two Sudanese Regions: effects of Sample Preparation and Preliminary Safety Screening.
J. Xenobiotics. 16 (4), 1-22, (cikkazonosító: 147), 2026.

doi DEA

Folyóirat-mutatók:

Q2 Pharmacology (2025)

Q2 Pollution (2025)

Q1 Toxicology (2025)

10.

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.

doi DEA

Folyóirat-mutatók:

Q2 Biomedical Engineering (2025)

Q2 Biophysics (2025)

Q2 Biotechnology (2025)

Q2 Electrochemistry (2025)

11.

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. 7 (4), 1-20, (cikkazonosító: 100305), 2026.

doi DEA WoS Scopus

Folyóirat-mutatók:

Q2 Computer Science Applications (2025)

Q2 Management Science and Operations Research (2025)

Q1 Safety Research (2025)

Q1 Safety, Risk, Reliability and Quality (2025)

Q2 Statistics, Probability and Uncertainty (2025)

12.

Debreceni, A., Bodzás, S.: Evaluation of Statistical Learning Methods for FFF 3D Printing Problems.
Key Eng. Mater. 1060, 71-78, 2026.

doi DEA Scopus

Folyóirat-mutatók:

Q4 Materials Science (miscellaneous) (2025)

Q4 Mechanical Engineering (2025)

Q4 Mechanics of Materials (2025)

13.

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.

doi DEA WoS

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)

14.

Terdik, G., Dawod, A. B. A.: Extending GLASSO to Non-Gaussian Settings: Sparse Concentration Estimation via EM Algorithm.
Comput. Stat. 41, 1-33, (cikkazonosító: 90), 2026.

doi DEA

Folyóirat-mutatók:

Q2 Computational Mathematics (2025)

Q2 Statistics and Probability (2025)

Q2 Statistics, Probability and Uncertainty (2025)

15.

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.

doi DEA

Folyóirat-mutatók:

Q2 Acoustics and Ultrasonics (2025)

Q3 Management, Monitoring, Policy and Law (2025)

Q2 Urban Studies (2025)

16.

Gafarov, I., Qasem, Z., Düzenli, K., Harangi, B., Al-Hamadani, M. N. A.: Hyperparameter-Aware Evaluation of Deep Learning Architectures for AI-Generated Image Detection.
2026 IEEE 4th Conference on Information Technology and Data Science (CITDS) Proceedings /ed. IEEE Xplore "Accepted by Publisher", 1-6, 2026.

DEA

17.

Nawab, M. R. I., Tajti, T. G.: Iterative Label Fuzzification in Deep Learning for Sentiment Analysis: An Empirical Study on the IMDB Dataset.
The 13th International Conference on Applied Informatics, ICAI 2026 : Abstracts 1-3, (cikkazonosító: 88), 2026.

DEA

18.

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

doi DEA

19.

Alfayyadh, F. K. J., Jabar, A. A. S. A., Gilányi, A.: Learning facial muscle anatomy using virtual reality simulation: a randomized controlled study among medical students in Iraq.
Adv Simul. [Epub ahead of print], 1-22, 2026.

doi DEA

20.

Csajbók, I. L., Nemes, D.: Measurement of Vehicle Parameters for Vehicle Dynamics Model Validation.
Adv. Sci. Technol. 181, 243-252, 2026.

doi DEA Scopus

21.

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

doi DEA

22.

Taleb, M. A., Husi, G., Pálinkás, S.: Numerical Simulation of Die Forging Processes: A Review of Finite Element Modelling Approaches, Material Models and Process Parameters.
Appl. Sci.-Basel. 16 (14), 1-20, (cikkazonosító: 6968), 2026.

doi DEA

Folyóirat-mutatók:

Q2 Computer Science Applications (2025)

Q2 Engineering (miscellaneous) (2025)

Q2 Fluid Flow and Transfer Processes (2025)

Q2 Instrumentation (2025)

Q2 Materials Science (miscellaneous) (2025)

Q3 Process Chemistry and Technology (2025)

23.

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.

doi DEA

24.

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

doi DEA Scopus

25.

Nemes, D., Hajdu, S.: Possibilities for Representing the Shape and Size of Polytopes when Applying the TP Transition.
Adv. Sci. Technol. 181, 259-265, 2026.

doi DEA Scopus

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