Publications

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2024
Solis WValdez, Parra-Ullauri JMarcelo, Kertész Attila.  2024.  Exploring the Synergy of Fog Computing, Blockchain, and Federated Learning for IoT Applications: A Systematic Literature Review. IEEE Access. vol 12
Baniata H, Kertész A.  2024.  Partial Pre-Image Attack on Proof-of-Work based Blockchains. Blockchain: Research and Applications.
Márkus A, Hegedűs VDániel, Dombi J D, Kertész A.  2024.  Synergizing Fuzzy-based Task Offloading with Machine Learning-driven Forecasting for IoT. 2024 IEEE 8th International Conference on Fog and Edge Computing (ICFEC). :71-78.
2022
Szendi I, Bagi A, Szalóki S, Hallgató E, Domján N, Kanka A, Gál BIldikó, Karcher É, Pásztor H, Jenei T et al..  2022.  Premorbid screening of healthy students may carry latent liability for schizophrenia or bipolar affective disorder with neurocognitive and neurophenomenological methods. EUROPEAN PSYCHIATRY. 65:S683-S683.
Szendi I, Bagi A, Szalóki S, Hallgató E, Domján N, Kanka A, Gál BIldikó, Karcher É, Pásztor H, Jenei T et al..  2022.  Premorbid screening of healthy students may carry latent liability for schizophrenia or bipolar affective disorder with neurocognitive and neurophenomenological methods. EUROPEAN PSYCHIATRY. 65:S683-S683.
Szendi I, Bagi A, Szalóki S, Hallgató E, Domján N, Kanka A, Gál BIldikó, Karcher É, Pásztor H, Jenei T et al..  2022.  Premorbid screening of healthy students may carry latent liability for schizophrenia or bipolar affective disorder with neurocognitive and neurophenomenological methods. EUROPEAN PSYCHIATRY. 65:S683-S683.
Baniata H, Kertész Attila.  2022.  PriFoB: A Privacy-aware Fog-enhanced Blockchain-based system for Global Accreditation and Credential Verification. Journal of Network and Computer Applications. 205
2021
Baniata H, Kertész A.  2021.  FoBSim: an extensible open-source simulation tool for integrated fog-blockchain systems. PeerJ Computer Science. vol 7
Szendi I, Bagi A, Szalóki S, Hallgató E, Domján N, Kanka A, Gál BIldikó, Dujmovics-Karcher É, Pásztor H, Jenei T et al..  2021.  Szkizofrénia és bipoláris affektív zavar kifejlődése iránt alacsony kockázatot mutató egészséges egyetemisták premorbid szűrése neurokognitív és neurofenomenológiai módszerekkel. PSYCHIATRIA HUNGARICA. 36:120-121.
Szendi I, Bagi A, Szalóki S, Hallgató E, Domján N, Kanka A, Gál BIldikó, Dujmovics-Karcher É, Pásztor H, Jenei T et al..  2021.  Szkizofrénia és bipoláris affektív zavar kifejlődése iránt alacsony kockázatot mutató egészséges egyetemisták premorbid szűrése neurokognitív és neurofenomenológiai módszerekkel. PSYCHIATRIA HUNGARICA. 36:120-121.
2020
Pflanzner T., Hovari M., Vass I., Kertesz A..  2020.  Designing an IoT-Cloud Gateway for the Internet of Living Things. Communications in Computer and Information Science. 1218 CCIS:23-41.
Markus. A, Gacsi. P, Kertesz. A.  2020.  Develop or Dissipate Fogs? Evaluating an IoT Application in Fog and Cloud Simulations Proceedings of the 10th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,. :193-203.
Kicsi A, Ledenyi KSzabó, Németh P, Pusztai P, Vidács L, Gyimóthy T.  2020.  Elírások automatikus detektálása és javítása radiológiai leletek szövegében. XVI. Magyar Számítógépes Nyelvészeti Konferencia : MSZNY 2020. :191-204.
Baniata H., Sharieh A., Mahmood S., Kertesz A..  2020.  Graft: A model for evaluating actuator systems in terms of force production. Sensors (Switzerland). 20
Varadi S., G. Varkonyi G, Kertesz A..  2020.  Legal Issues of Social IoT Services: The Effects of Using Clouds, Fogs and AI. Studies in Computational Intelligence. 846:123-138.
Baniata H., Kertesz A..  2020.  PF-BVM: A Privacy-aware fog-enhanced blockchain validation mechanism. CLOSER 2020 - Proceedings of the 10th International Conference on Cloud Computing and Services Science. :430-439.
Márkus A, Kertész Attila.  2020.  A survey and taxonomy of simulation environments modelling fog computing. Simulation Modelling Practice and Theory. vol 101
Baniata H., Kertesz A..  2020.  A Survey on Blockchain-Fog Integration Approaches. IEEE Access. 8:102657-102668.
Kicsi A, Vidács L, Gyimothy T.  2020.  TestRoutes: A Manually Curated Method Level Dataset for Test-to-Code Traceability. Proceedings of the 17th International Conference on Mining Software Repositories, MSR 2020. :593-597.
Mishra B, Kertész A.  2020.  The Use of MQTT in M2M and IoT Systems: A Survey. IEEE Access. vol 8:201071-201086.
2019
Kecskeméti G, Németh Z, Kertész Attila, Ranjan R.  2019.  Cloud workload prediction based on workflow execution time discrepancies. Cluster Computing. vol 22(3):737-755.
Kecskeméti G, Németh Z, Kertész Attila, Ranjan R.  2019.  Cloud workload prediction based on workflow execution time discrepancies. Cluster Computing. vol 22(3):737-755.
Csuvik V, Kicsi A, Vidács L.  2019.  Evaluation of Textual Similarity Techniques in Code Level Traceability. Proceedings of the 19th International Conference on Computational Science and Its Applications (ICCSA 2019). :529-543.
Kicsi A, Rákóczi M, Vidács L.  2019.  Exploration and Mining of Source Code Level Traceability Links on Stack Overflow. Proceedings of ICSOFT 2019, 14th International Conference on Software Technologies. :339-346.
Kicsi A, Csuvik V, Vidács L, Horváth F, Beszédes Á, Gyimothy T, Kocsis F.  2019.  Feature Analysis using Information Retrieval, Community Detection and Structural Analysis Methods in Product Line Adoption. Journal of Systems and Software. 155:70-90.