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2020 – today
- 2024
[j18]Balint Bicski
, Adrián Pekár:
Unveiling Latency-Induced Service Degradation: A Methodological Approach With Dataset. IEEE Access 12: 128097-128116 (2024)- [j17]László Toka, Márk Konrád, Adrián Pekár, Gergely Biczók:
Integrating the Skies for 6G: Techno-Economic Considerations of LEO, HAPS, and UAV Technologies. IEEE Commun. Mag. 62(11): 44-51 (2024) - [j16]Adrián Pekár, Richard Jozsa:
Evaluating ML-based anomaly detection across datasets of varied integrity: A case study. Comput. Networks 251: 110617 (2024) - [j15]Adrián Pekár, Laszlo A. Makara, Yuan-Cheng Lai, Ying-Dar Lin, Winston Seah:
P4toNFV: Offloading from P4 switches to NFV in programmable data planes. Int. J. Commun. Syst. 37(5) (2024) - [j14]Adrián Pekár, Árpád László Makara, Gergely Biczók:
Incremental federated learning for traffic flow classification in heterogeneous data scenarios. Neural Comput. Appl. 36(32): 20401-20424 (2024) - [i4]Adrián Pekár, Richard Jozsa:
Evaluating ML-Based Anomaly Detection Across Datasets of Varied Integrity: A Case Study. CoRR abs/2401.16843 (2024) - [i3]Adrián Pekár, Richard Jozsa:
Early-Stage Anomaly Detection: A Study of Model Performance on Complete vs. Partial Flows. CoRR abs/2407.02856 (2024) - [i2]Balint Bicski, Adrián Pekár:
Early Detection of Network Service Degradation: An Intra-Flow Approach. CoRR abs/2407.06637 (2024) - [i1]Adrián Pekár:
AutoFlow: An Autoencoder-based Approach for IP Flow Record Compression with Minimal Impact on Traffic Classification. CoRR abs/2410.00030 (2024) - 2023
- [j13]Balint Bicski, Károly Farkas, Adrián Pekár:
Simple Heuristics as a Viable Alternative to Machine Learning-Based Anomaly Detection in Industrial IoT. IEEE Internet Things Mag. 6(3): 104-109 (2023) - [j12]Laszlo A. Makara, Petar Maric, Adrián Pekár:
Public transport congestion detection using incremental learning. Pervasive Mob. Comput. 91: 101769 (2023) - 2022
- [j11]Zied Aouini, Adrián Pekár:
NFStream: A flexible network data analysis framework. Comput. Networks 204: 108719 (2022) - [j10]Adrián Pekár, Alejandra Duque-Torres, Winston K. G. Seah, Oscar Maurício Caicedo Rendón:
Towards threshold-agnostic heavy-hitter classification. Int. J. Netw. Manag. 32(3) (2022) - 2021
- [j9]Adrián Pekár, Jozef Mocnej, Winston K. G. Seah, Iveta Zolotová:
Application Domain-Based Overview of IoT Network Traffic Characteristics. ACM Comput. Surv. 53(4): 87:1-87:33 (2021) - [j8]Adrián Pekár, Alejandra Duque-Torres, Winston K. G. Seah, Oscar M. Caicedo:
Knowledge Discovery: Can It Shed New Light on Threshold Definition for Heavy-Hitter Detection? J. Netw. Syst. Manag. 29(3): 24 (2021) - [j7]Jozef Mocnej, Adrián Pekár, Winston K. G. Seah, Peter Papcun, Erik Kajati, Dominika Cupkova, Jirí Koziorek, Iveta Zolotová:
Quality-enabled decentralized IoT architecture with efficient resources utilization. Robotics Comput. Integr. Manuf. 67: 102001 (2021) - 2020
- [j6]Juan Sebastián Rojas, Adrián Pekár, Álvaro Rendón Gallón, Juan Carlos Corrales:
Smart User Consumption Profiling: Incremental Learning-Based OTT Service Degradation. IEEE Access 8: 207426-207442 (2020) - [j5]Peter Fecilak, Adrián Pekár, Norbert Ádám, Anton Baláz, Eva Chovancová:
A non-intrusive Smart metering system: Analytics and simulation of power consumption. Concurr. Comput. Pract. Exp. 32(13) (2020)
2010 – 2019
- 2019
- [c3]Adrián Pekár, Mona B. H. Ruan, Winston K. G. Seah:
Angular Histogram-Based Visualisation of Network Traffic Flow Measurement Data. AINA 2019: 353-365 - [c2]Jarrod N. Bakker, Bryan Ng, Winston K. G. Seah, Adrián Pekár:
Traffic Classification with Machine Learning in a Live Network. IM 2019: 488-493 - [c1]Alejandra Duque-Torres, Adrián Pekár, Winston K. G. Seah, Oscar Maurício Caicedo Rendón:
Heavy-Hitter Flow Identification in Data Centre Networks Using Packet Size Distribution and Template Matching. LCN 2019: 10-17 - 2018
- [j4]Adrián Pekár, Martin Chovanec, Liberios Vokorokos, Eva Chovancová, Peter Fecilak, Miroslav Michalko:
Adaptive Aggregation of Flow Records. Comput. Informatics 37(1): 142-164 (2018) - [j3]Matthew Hayes, Bryan Ng, Adrián Pekár, Winston K. G. Seah:
Scalable Architecture for SDN Traffic Classification. IEEE Syst. J. 12(4): 3203-3214 (2018) - 2013
- [j2]Frantisek Jakab, Adrián Pekár, Peter Fecilak, Miroslav Michalko:
Optimalizácia monitorovania sieťovej prevádzky. Acta Informatica Pragensia 2(1): 101-121 (2013) - 2012
- [j1]Adrián Pekár, Martin Révés, Juraj Giertl, Peter Fecilak:
Overview and insight into the MONICA research group. Central Eur. J. Comput. Sci. 2(3): 331-343 (2012)
Coauthor Index
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last updated on 2024-12-10 20:48 CET by the dblp team
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