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, (article identifier: 1794), 2025.
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, (article identifier: 125), 2025.
Talbi, D.,
Gál, Z.:
AI-Driven Insights into B5G/6G MAC Mechanisms: A Comprehensive Analysis.
Internet Things. 31, 1-43, (article identifier: 101571), 2025.
Q4
Management Science and Operations Research
(2024)
Q4
Software
(2024)
Q4
Theoretical Computer Science
(2024)
5.
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, (article identifier: 5982), 2025.
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.
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.
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, (article identifier: 776), 2025.
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
Bartók, T.,
Héjja, F.,
Kocsis, G.:
Availability Modeling in Software Architecture.
2024 IEEE 3rd Conference on Information Technology and Data Science (CITDS) / Hajdu András 1-4, 2024.
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, (article identifier: 6140), 2024.
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
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, (article identifier: 8828), 2024.
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
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
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.
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, (article identifier: 4502), 2024.
Varga, I.:
A Case Study of Genealogical Networks from Network Science Perspective.
In: Proceedings of the 8th International Conference on Complexity, Future Information Systems and Risk / Ema Kusen; Victor Chang, ScitePress, Prague, 47-52, 2023, (ISSN 2184-5034) ISBN: 9789897586446