Informatikai Kar

1.

Nagy-Lakatos, M.: A composite-loss graph neural network for the multivariate post-processing of ensemble weather forecasts.
Q. J. R. Meteorol. Soc. [Epub ahead of print], (cikkazonosító: 70119), 2026.

doi DEA

Folyóirat-mutatók:

Q1 Atmospheric Science (2024)

2.

Papp, I., Bodroginé Zichar, M.: Applicability of AI in code-based 3D modelling: Who will solve the modelling tasks: the students or the AI?.
In: Book of abstracts from the Innovation in Engineering Education Conference 2026. Ed.: Szilvia Árvai-Homolya; ed. Sándor Lajos; ed. László Rónai, Faculty of Mechanical Engineering, University of Miskolc, Miskolc, 15-15, 2026. ISBN: ISBN9789633584255

DEA

3.

Kádek, T., Biró, P.: Assessment System for IT Configuration Tasks.
Acta Polytech. Hung. 23 (5), 87-100, 2026.

doi DEA

Folyóirat-mutatók:

Q2 Engineering (miscellaneous) (2024)

Q2 Multidisciplinary (2024)

4.

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 (2024)

Q1 Biophysics (2024)

Q2 Biotechnology (2024)

Q2 Electrochemistry (2024)

5.

Martos, R., Szokol, Á., Veres, M., Gáll, J., Csik, A., Hegedűs, C., Keczánné Üveges, A., Tóth, E. R., Szalóki, M.: Evaluation of Two-Body Wear of Nanocomposites With Different Filler Morphology and Composition Using White-Light Interferometry.
Int J Dent. 2026, 1-14, (cikkazonosító: 8929009), 2026.

doi DEA

Folyóirat-mutatók:

Q1 Dentistry (miscellaneous) (2024)

6.

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 (2024)

Q1 Artificial Intelligence (2024)

D1 Cognitive Neuroscience (2024)

D1 Computer Science Applications (2024)

D1 Human-Computer Interaction (2024)

Q1 Neuroscience (miscellaneous) (2024)

7.

Terdik, G.: On Fisher information for multivariate elliptically contoured distributions.
Stat. Probab. Lett. 234, 1-5, (cikkazonosító: 110690), 2026.

doi DEA

Folyóirat-mutatók:

Q2 Statistics and Probability (2024)

Q3 Statistics, Probability and Uncertainty (2024)

8.

Vágner, A.: Perspective Chapter: The Role of Data Quality Dimensions in Data-Driven Decision-Making.
In: Data Quality Matters - Best Practices for Integrity and Assurance [Working Title]. Eds.: Sebastian Ventura, José M. Luna and Antonio R. Moya Martín-Castaño

doi DEA

9.

Mayer, M. J., Baran, Á., Lerch, S., Horat, N., Yang, D., Baran, S.: Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods.
Sol. Energy. 307, 1-36, (cikkazonosító: 114361), 2026.

doi DEA

Folyóirat-mutatók:

Q1 Materials Science (miscellaneous) (2024)

Q1 Renewable Energy, Sustainability and the Environment (2024)

10.

Mayer, M. J., Baran, S.: Probabilistic PV forecasting.
In: AI-Based Forecasting of Solar Photovoltaics Power Generation / Elham Shirazi; Wilfried van Sark (eds), The Institution of Engineering and Technology (The IET), London, 149-176, 2026. ISBN: 9781837240197

doi DEA

11.

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

doi DEA

12.

Gao, S., Do, T. V., Hajdu, A., Bérczes, T., Wang, J.: Reliability evaluation and optimization for a redundant repairable cluster computing system.
Reliab. Eng. Syst. Saf. 272 (3), (cikkazonosító: 112628), 2026.

doi DEA

Folyóirat-mutatók:

D1 Applied Mathematics (2024)

D1 Industrial and Manufacturing Engineering (2024)

D1 Safety, Risk, Reliability and Quality (2024)

13.

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.

DEA

14.

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.

doi DEA

Folyóirat-mutatók:

Q2 Computer Science (miscellaneous) (2024)

Q2 Engineering (miscellaneous) (2024)

Q2 Mathematics (miscellaneous) (2024)

15.

Dömösi, P., Horváth, G.: Szkrembler berendezés és eljárás különösen kriptográfiai alkalmazásokhoz, valamint deszkrembler berendezés és eljárás azokhoz.

DEA

16.

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.

doi DEA

Folyóirat-mutatók:

Q2 Decision Sciences (miscellaneous) (2024)

Q2 Psychology (miscellaneous) (2024)

Q1 Social Sciences (miscellaneous) (2024)

17.

Wei, S., Yu, S., Qian, C., Lan, Y., Huang, X.: Unveiling the relationship between stress-hyperglycemia ratio and cardiometabolic multimorbidity risk using interpretable machine learning.
Eur. J. Med. Res. 31 (1), 1-13, (cikkazonosító: 284), 2026.

doi DEA

18.

Csámer, L., Kovács, Á. É., Méhes, N., Horváth, H., Manó, S.: 3D nyomtatással készülő cranioplastica öntőforma továbbfejlesztése.
Biomech Hung. 17 (2), 40-46, 2025.

doi DEA

19.

Gao, T., Sütő, J.: Acceleration of Image Classification and Object Tracking by the Intel Neural Compute Stick 2 with Power Efficiency Evaluation on Raspberry Pi 4B.
Sensors. 25 (6), 1-16, (cikkazonosító: 1794), 2025.

doi DEA WoS Scopus

Folyóirat-mutatók:

Q1 Analytical Chemistry (2024)

Q2 Atomic and Molecular Physics, and Optics (2024)

Q2 Biochemistry (2024)

Q2 Electrical and Electronic Engineering (2024)

Q2 Information Systems (2024)

Q1 Instrumentation (2024)

Q2 Medicine (miscellaneous) (2024)

20.

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.

doi DEA

Folyóirat-mutatók:

Q1 Analysis (2024)

D1 Applied Mathematics (2024)

Q1 Decision Sciences (miscellaneous) (2024)

D1 Modeling and Simulation (2024)

21.

Gáll, J., Gürgez, P., Horváth, G.: Adding an Avalanche Effect to a Stream Cipher Suitable for IoT Devices.
Electronics. 14 (13), 1-13, 2025.

doi DEA

Folyóirat-mutatók:

Q2 Computer Networks and Communications (2024)

Q2 Control and Systems Engineering (2024)

Q2 Electrical and Electronic Engineering (2024)

Q2 Hardware and Architecture (2024)

Q2 Signal Processing (2024)

22.

Abdulameer, N. J., Oniga, I. L., Ujvári, B.: Advanced Big Data Solutions for Detector Calibrations for High-Energy Physics.
Electronics (Switzerland). 14 (10), 1-28, (cikkazonosító: 2088), 2025.

DEA WoS Scopus

Folyóirat-mutatók:

Q2 Computer Networks and Communications (2024)

Q2 Control and Systems Engineering (2024)

Q2 Electrical and Electronic Engineering (2024)

Q2 Hardware and Architecture (2024)

Q2 Signal Processing (2024)

23.

Aldabbas, A. K. A. E., Mustafa, Z., Gál, Z.: Advanced Trajectory Analysis of NASA's Juno Mission Using Unsupervised Machine Learning: Insights into Jupiter's Orbital Dynamics.
Future Internet. 17 (3), 1-30, (cikkazonosító: 125), 2025.

doi DEA WoS Scopus

Folyóirat-mutatók:

Q2 Computer Networks and Communications (2024)

24.

Fazekas, I., Fórián, L.: A family of network evolution models with moderate density.
Stat. Pap. 66 (5), 1-18, (cikkazonosító: 105), 2025.

doi DEA WoS

Folyóirat-mutatók:

Q2 Statistics and Probability (2024)

Q2 Statistics, Probability and Uncertainty (2024)

25.

Abuhayi, B. M., Hajdu, A.: A Hybrid Compact Convolutional Transformer with Bilateral Filtering for Coffee Berry Disease Classification.
Sensors. 25 (13), 1-23, (cikkazonosító: 3926), 2025.

doi DEA WoS

Folyóirat-mutatók:

Q1 Analytical Chemistry (2024)

Q2 Atomic and Molecular Physics, and Optics (2024)

Q2 Biochemistry (2024)

Q2 Electrical and Electronic Engineering (2024)

Q2 Information Systems (2024)

Q1 Instrumentation (2024)

Q2 Medicine (miscellaneous) (2024)