Informatikai Rendszerek és Hálózatok Tanszék

1.

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)

2.

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)

3.

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)

D1 Computer Science (miscellaneous) (2024)

Q1 Computer Science Applications (2024)

D1 Engineering (miscellaneous) (2024)

D1 Hardware and Architecture (2024)

Q1 Information Systems (2024)

Q1 Management of Technology and Innovation (2024)

D1 Software (2024)

4.

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 Electrical and Electronic Engineering (2024)

Q4 Computer Networks and Communications (2024)

Q4 Computer Science Applications (2024)

Q4 Information Systems (2024)

Q4 Media Technology (2024)

5.

Szilágyi, S.: Effective Supervision of Students' Activity During Classroom Learning and Testing.
Acta Cybern. 27 (1), 43-51, 2025.

doi DEA

Folyóirat-mutatók:

Q4 Computational Theory and Mathematics (2024)

Q4 Computer Science (miscellaneous) (2024)

Q4 Computer Vision and Pattern Recognition (2024)

Q4 Electrical and Electronic Engineering (2024)

Q3 Information Systems and Management (2024)

Q4 Management Science and Operations Research (2024)

Q4 Software (2024)

Q4 Theoretical Computer Science (2024)

6.

Lencse, G., Szilágyi, S.: Equivalence and difference of the dual device under test setup and the single device under test setup of RFC 8219.
Int J Commun Syst. 38 (3), 1-15, (cikkazonosító: 5982), 2025.

doi DEA WoS Scopus

Folyóirat-mutatók:

Q2 Computer Networks and Communications (2024)

Q2 Electrical and Electronic Engineering (2024)

7.

Kocsis, G., Varga, I.: gtfs2net: Extraction of General Transit Feed Specification Data Sets to Abstract Networks and Their Analysis.
Big Data. 13 (1), 30-41, 2025.

doi DEA WoS

Folyóirat-mutatók:

Q2 Computer Science Applications (2024)

Q2 Information Systems (2024)

Q2 Information Systems and Management (2024)

8.

Do, T. V., Do, N. H., Rotter, C., Lakshman, T., Biró, C., Bérczes, T.: Properties of Horizontal Pod Autoscaling Algorithms and Application for Scaling Cloud-Native Network Functions.
IEEE Trans. Netw. Serv. Manage. [Epub ahead of print], 1-11, 2025.

doi DEA Scopus

Folyóirat-mutatók:

D1 Computer Networks and Communications (2024)

Q1 Electrical and Electronic Engineering (2024)

9.

Efrosinin, D., Vishnevsky, V., Stepanova, N., Sztrik, J.: Use Cases of Machine Learning in Queueing Theory Based on a GI/G/K System.
Mathematics. 13 (5), 1-36, (cikkazonosító: 776), 2025.

doi DEA

Folyóirat-mutatók:

Q2 Computer Science (miscellaneous) (2024)

Q2 Engineering (miscellaneous) (2024)

Q2 Mathematics (miscellaneous) (2024)

10.

Xie, Y., Oniga, I. L.: A Comprehensive Review of Hardware Acceleration Techniques and Convolutional Neural Networks for EEG Signals.
Sensors. 24 (17), 1-28, (cikkazonosító: 5813), 2024.

doi DEA WoS

Folyóirat-mutatók:

Q1 Analytical Chemistry

Q2 Atomic and Molecular Physics, and Optics

Q2 Biochemistry

Q2 Electrical and Electronic Engineering

Q2 Information Systems

Q1 Instrumentation

Q2 Medicine (miscellaneous)

11.

Phoebe, G. A., Talbi, D., Gál, Z.: Actual Trajectory and High Speed Internet Service Aspects of a Low Earth Orbit Satellite Constellation.
In: Az elmélet és a gyakorlat találkozása a térinformatikában XV. = Theory meets practice in GIS. Szerk.: Abriha-Molnár Vanda Éva, Debreceni Egyetemi Kiadó, Debrecen, 21-29, 2024. ISBN: 9789634906193

DEA

12.

Gál, Z., Talbi, D.: Analysis of Received Power Entropy Interdependence in B5G/6G Radio Cell.
In: 2024 IEEE 13th International Conference on Cloud Networking (CloudNet), IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, Piscataway, 1-6, 2024. ISBN: 9798350376562

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13.

Bartók, T., Héjja, F., Kocsis, G.: Availability Modeling in Software Architecture.
In: 2024 IEEE 3rd Conference on Information Technology and Data Science (CITDS). Ed.: Hajdu András, University of Debrecen, Debrecen, 1-4, 2024. ISBN: 9798350387889

doi DEA Scopus

14.

Pap, I. A., Oniga, I. L.: eHealth Assistant AI Chatbot Using a Large Language Model to Provide Personalized Answers through Secure Decentralized Communication.
Sensors. 24 (18), 1-16, (cikkazonosító: 6140), 2024.

doi DEA WoS Scopus

Folyóirat-mutatók:

Q1 Analytical Chemistry

Q2 Atomic and Molecular Physics, and Optics

Q2 Biochemistry

Q2 Electrical and Electronic Engineering

Q2 Information Systems

Q1 Instrumentation

Q2 Medicine (miscellaneous)

15.

Filep, L., Polgár, P., Gál, Z.: Energy Consumption Based Analysis of the Swarm Intelligence Routing Mechanisms in Wireless Sensor Networks.
In: Automation, Robotics & Communications for Industry 4.0/5.0 ARCI' 2024 Conference Proceedings / Sergey Y. Yurish, International Frequency Sensor Association, Barcelona, 249-255, 2024, (ISSN 2938-4796) ISBN: 9788409582198

doi DEA

16.

Xie, Y., Oniga, I. L.: Enhancing Motor Imagery Classification in Brain-Computer Interfaces Using Deep Learning and Continuous Wavelet Transform.
Appl. Sci.-Basel. 14 (19), 1-16, (cikkazonosító: 8828), 2024.

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Folyóirat-mutatók:

Q2 Computer Science Applications

Q2 Engineering (miscellaneous)

Q2 Fluid Flow and Transfer Processes

Q2 Instrumentation

Q2 Materials Science (miscellaneous)

Q2 Process Chemistry and Technology

17.

Gál, Z., Talbi, D., Korteby, M. A.: Entropy Analysis of Hierarchical Routing in Heterogeneous Wireless Sensor Network.
In: 2023 IEEE 5th Eurasia Conference on IOT, Communication and Engineering (ECICE) / Meen, IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, Piscataway, 61-67, 2024. ISBN: 9798350314694

doi DEA Scopus

18.

Talbi, D., Gál, Z.: Entropy-based Interdependence Analysis of the B5G/6G THz Network.
In: Automation, Robotics & Communications for Industry 4.0/5.0 ARCI' 2024 Conference Proceedings. Ed.: Sergey Y. Yurish, International Frequency Sensor Association, Barcelona, 170-176, 2024, (ISSN 2938-4796) ISBN: 9788409582198

doi DEA

19.

Vadadokhau, U., Varga, I., Káplár, M., Emri, M., Csősz, É.: Examination of the Complex Molecular Landscape in Obesity and Type 2 Diabetes.
Int. J. Mol. Sci. 25 (9), 1-13, (cikkazonosító: 4781), 2024.

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Folyóirat-mutatók:

Q2 Catalysis

Q1 Computer Science Applications

Q1 Inorganic Chemistry

Q1 Medicine (miscellaneous)

Q2 Molecular Biology

D1 Organic Chemistry

Q1 Physical and Theoretical Chemistry

D1 Spectroscopy

20.

Héjja, F., Bartók, T., Dakroub, R., Kocsis, G.: Generative AI for Productivity in Industry and Education.
In: COMPLEXIS 2024 : Proceedings of the 9th International Conference on Complexity, Future Information Systems and Risk / Ali, Emrouznejad; Luigi, Fortuna; Victor, Chang, SciTePress, Angers, France, 128-135, 2024, (ISSN 2184-5034) ISBN: 9789897586989

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21.

Sütő, J.: Improving the generalization capability of YOLOv5 on remote sensed insect trap images with data augmentation.
Multimed. Tools Appl. 83 (9), 27921-27934, 2024.

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Folyóirat-mutatók:

Q2 Computer Networks and Communications

Q2 Hardware and Architecture

Q1 Media Technology

Q2 Software

22.

Szilágyi, S., Juhász, L.: Increasing Teacher Efficiency with AI: An Overview.
J. Comput. Sci. Control Syst. 17 (2), 9-14, 2024.

DEA

23.

Baranyai, D., Oniga, I. L., Gyöngyösi, B., Ujvári, B., Mohamed, A.: Module Tester for Positron Emission Tomography and Particle Physics.
Electronics (Switzerland). 13 (15), 1-15, (cikkazonosító: 3066), 2024.

doi DEA WoS Scopus

Folyóirat-mutatók:

Q2 Computer Networks and Communications

Q2 Control and Systems Engineering

Q2 Electrical and Electronic Engineering

Q2 Hardware and Architecture

Q2 Signal Processing

24.

Tiba, A., Bérczes, T., Bérczes, A., Zsuga, J.: Predicting Stroke Risk Based on ICD Codes Using Graph-Based Convolutional Neural Networks.
Mathematics. 12 (12), 1-15, (cikkazonosító: 1814), 2024.

doi DEA WoS Scopus

Folyóirat-mutatók:

Q2 Computer Science (miscellaneous)

Q2 Engineering (miscellaneous)

Q2 Mathematics (miscellaneous)

25.

Sütő, J.: Using Data Augmentation to Improve the Generalization Capability of an Object Detector on Remote-Sensed Insect Trap Images.
Sensors. 24 (14), 1-12, (cikkazonosító: 4502), 2024.

doi DEA

Folyóirat-mutatók:

Q1 Analytical Chemistry

Q2 Atomic and Molecular Physics, and Optics

Q2 Biochemistry

Q2 Electrical and Electronic Engineering

Q2 Information Systems

Q1 Instrumentation

Q2 Medicine (miscellaneous)

Informatikai Rendszerek és Hálózatok Tanszék

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