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A Tudóstér funkcióinak nagy része bejelentkezés nélkül is elérhető. Bejelentkezésre az alábbi műveletekhez van szükség:
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].
