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.

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)

3.

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)

4.

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

5.

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)

6.

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

7.

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

8.

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

9.

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

10.

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)

11.

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)

12.

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)

13.

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)

14.

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)

15.

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)

16.

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)

17.

Lakatos, I., Bogacsovics, G., Tiba, A., Priksz, D., Juhász, B., Erdélyi, R., Berényi, Z., Bácskay, I., Ujvárosy, D., Harangi, B.: AI-Driven Framework for Enhanced and Automated Behavioral Analysis in Morris Water Maze Studies.
Sensors. 25, 1-16, (cikkazonosító: 1564), 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)

18.

Talbi, D., Gál, Z.: AI-Driven Insights into B5G/6G MAC Mechanisms: A Comprehensive Analysis.
Internet of Things. 31, 1-43, (cikkazonosító: 101571), 2025.

doi DEA WoS Scopus

Folyóirat-mutatók:

Q1 Artificial Intelligence (2024)

Q1 Computer Science Applications (2024)

D1 Computer Science (miscellaneous) (2024)

D1 Engineering (miscellaneous) (2024)

D1 Hardware and Architecture (2024)

Q1 Information Systems (2024)

Q1 Management of Technology and Innovation (2024)

D1 Software (2024)

19.

Kiss, E., Mester, T., Balla, D. Z.: A klímaaggodalmak, attitűdök és a környezetbarát viselkedés kapcsolatának vizsgálata debrecenben.
In: A földrajztudomány válaszai a komplex környezeti és társadalmi kihívásokra : Rövid előadások I, SZTE, Szeged, 2, 2025.

DEA

20.

Hannusch, C., Major, S. R., Pavone, M.: Algorithm for the fast generation of Latin squares.
J. Discret. Math. Sci. Cryptogr. 29 (1), 127-137, 2025.

doi DEA

Folyóirat-mutatók:

Q3 Algebra and Number Theory (2024)

Q3 Analysis (2024)

Q3 Applied Mathematics (2024)

21.

Rácz, A.: A MILP model for one dimensional cutting stock problem with adjustable leftover threshold and cutting cost.
IJOCTA. 15 (2), 215-224, 2025.

doi DEA

Folyóirat-mutatók:

Q2 Applied Mathematics (2024)

Q3 Control and Optimization (2024)

22.

Apró, A., Tajti, T. G.: An adaptive testing system for programming proficiency using Item Response Theory.
Ann. Math. Inform. 61, 31-42, 2025.

doi DEA

Folyóirat-mutatók:

Q4 Computer Science (miscellaneous) (2024)

Q4 Mathematics (miscellaneous) (2024)

23.

Biró, C., Kusper, G.: Analysis of D-Wave Topologies with k-Hop-Based Graph Metrics.
Quantum Reports. 7 (2), 1-26, (cikkazonosító: 17), 2025.

doi DEA WoS Scopus

24.

Talbi, D., Gál, Z.: Analysis of High-Speed Radio Communication in THz Bands: Topological Impacts and Signal Decomposition Using Empirical Mode Decomposition and Marginal Hilbert Spectrum.
Lecture Notes on Data Engineering and Communications Technologies. 252, 59-71, 2025.

doi DEA Scopus

Folyóirat-mutatók:

Q4 Computer Networks and Communications (2024)

Q4 Computer Science Applications (2024)

Q4 Electrical and Electronic Engineering (2024)

Q4 Information Systems (2024)

Q4 Media Technology (2024)

25.

Lenner, Á., Papp, Z. L., Komlósi, I.: Analysis of sounds made by Bos taurus and Bubalus bubalis dams to their calves.
Front. Vet. Sci. 12, 1-8, (cikkazonosító: 1549100), 2025.

doi DEA WoS Scopus

Folyóirat-mutatók:

D1 Veterinary (miscellaneous) (2024)

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