The library will be closed between August 10, 2026 and August 16, 2026. During this period, it will be possible to upload publications, but all other services will be suspended.
Sabagh Nejad, A.,
Fazekas, G.:
Reducing the time needed to solve a traveling salesman problem by clustering with a Hierarchy-based algorithm.
IAES Int J Artif Intell. 12 (4), 1619-1627, 2023.
Moghadasi, M.,
Fazekas, G.:
Segmentation of MRI images to detect multiple sclerosis using non-parametric, non-uniform intensity normalization and support vector machine methods.
Infocommun. J. 13 (1), 68-74, 2021.
Moghadasi, M.,
Fazekas, G.:
Multiple Sclerosis Detection via Machine Learning Algorithm, Accurate Simulated Database 3D MRI to 2D Images, using value of Binary Pattern Classification: A Case Study.
In: Proceedings of the 10th IEEE International Conference on Cognitive Infocommunications : CogInfoCom 2019. Szerk.: Péter Baranyi, Ieee-Inst Electrical Electronics Engineers Inc, Piscataway, 233-240, 2020. ISBN: 9781728147932
Moghadasi, M.,
Fazekas, G.:
Multiple sclerosis Lesion Detection via Machine Learning Algorithm based on converting 3D to 2D MRI images.
Infocommun. J. 12 (1), 38-44, 2020.
Mousavi, S.,
Fazekas, G.:
Increasing QoS in SaaS for low Internet speed connections in cloud.
In: Proceedings of the 9th International Conference on Applied Informatics January 29 - Februar 1, 2014. Eger, Hungary Volume I. [elektronikus dokumentum]. Ed.: by Kovács Emőd, Kusper Gábor, Kunkli Roland, Tómács Tibor, Eszterházy Károly Főiskola, Eger, Vol 1 195-200, 2015. ISBN: 9786155297182
Bolla, K.,
Kovács, T.,
Fazekas, G.:
Investigating the Rate of Failure of Asynchronous Gathering in a Swarm of Fat Robots with Limited Visibility.
In: Artificial Intelligence and Soft Computing. Ed.: Leszek Rutkowski, Marcin Korytkowski, Rafa Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada, Springer Heidelberg, Heidelberg, 249-256, 2014. ISBN: 9783319071756
Bolla, K.,
Johanyák, Z. C.,
Kovács, T.,
Fazekas, G.:
Local Center of Gravity Based Gathering Algorithm for Fat Robots.
In: Issues and Challenges of Intelligent Systems and Computational Intelligence. Ed.: László T. Kóczy, Claudiu R. Pozna, Janusz Kacprzyk, Springer International Publishing, Switzerland, 175-183, 2014, (Studies in Computational Intelligence,ISSN 1860-949X ; 530) ISBN: 9783319032054
Bolla, K.,
Kovács, T.,
Fazekas, G.:
Trajectory Building Method For Autonomous Mobile Robots.
In: Proceedings of TEAM 2014 : 6th International Scientific and Expert Conference of the International TEAM Society. Eds.: Lóránt Kovács, Zsolt Csaba Johanyák, Róbert Pap-Szigeti, Kecskemét College Fac. of Mechanical Engineering and Automation, Kecskemét, 170-173, 2014. ISBN: 9786155192227
Bolla, K.,
Kovács, T.,
Fazekas, G.:
Gathering of Fat Robots with Limited Visibility and without Global Navigation.
In: Swarm and Evolutionary Computation. Ed.: Leszek Rutkowski, Marcin Korytkowski, Rafał Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada, Springer Heidelberg, Heidelberg, 30-38, 2012. ISBN: 9783642293528
Bolla, K.,
Kovács, T.,
Fazekas, G.:
A Barcode Based Kin Recognition and Identification Method for Robot Swarms.
Bul. ştiinţ. Univ. "Politehnica" Timiş., Ser. Autom. Calc. 56(70) (1), 11-20, 2011.
Sterbinszky, N.,
Fazekas, G.:
Comparison of the efficiency of combination of database servers, application servers and operating systems with the TPC-W benchmark.
In: Proceedings of The 8th International Conference on Applied Informatics : Eger, Hungary, January 27 - 30, 2010. Ed.: Attila Egri-Nagy [et al.], [Eszterházy Károly Főiskola], [Eger], 361-370, [2011].
