Information and analytical system for assessing the compliance of educational content specialties ciber security with modern requirements
Abstract
Keywords
Full Text:
PDF (Українська)References
Agapova, M. O. Pro optymizaciju navchal'nogo material [About optimization of educational material]. Teorija i praktyka upravlinnja social'nymy systemamy – Theory and practice of social systems management, 2012, no. 1, pp. 34-39.
Tetskyi, A., Morozova, O. Aspekty kiberbezpeky platform dystantsiinoho navchannia [Cybersecurity aspects of e-learning platforms]. Radioelektronni i komp'uterni sistemi – Radioelectronic and computer systems, 2020, vol. 4(96), pp. 93-97. DOI: 10.32620/reks.2020.4.08.
Sklyar, V. V., Kharchenko, V. S. Case-Based and Project-Based Methods for Effective E-learning in ICT Safety and Security. ICTERI Workshops 2020, pp. 157-170.
Dovbysh, A. S., Vasylev, A. V., Lubchak, V. O. Intelektual'ni informacijni tehnologii' v elektronnomu navchanni [Intellectual information technologies in electronic learning]. Sumy, Sumy State University Publ., 2013. 172 p.
Xu, G., Zong, Y., Yang, Y. Z. Applied Data Mining. CRC Press Publ., 2013. 284 p.
Hastie, T., Tibshirami, R., Eridman, J. The Elements of Statistical Learning: data Mining. Inference and Prodiction, Springer Verlag Publ., 2009. 746 p.
Patel, H. A., Kumar, A. V. S. Applications of Artificial Neural Networks for Nonlinear Data. Engineering Science Reference, 2020. 300 p.
Jayaswal, P., Verma, S. N., Wadhwani, A. K. Development of EBP-Artificial neural network expert system for rolling element bearing fault diagnosis. Journal of Vibration and Control, 2010, vol. 17, no. 8, pp. 1131-1148. DOI: 10.1177/1077546310361858.
Subbotin, S. The neuro-fuzzy network synthesis and simplification on precedents in problems of diagnosis and pattern recognition. Optical Memory and Neural Networks (Information Optics), 2013, vol. 22, pp. 97-103. DOI: 10.3103/s1060992x13020082.
Shelechov, I., Barchenko, N., Kalchenko, V., Obodiak, V. Nechitka iierarkhichna otsinka yakostikompleksnykh system zakhystu informatsii [A hierarchical fuzzy quality assessmentof complex security information systems]. Radioelektronni i komp'uterni sistemi – Radioelectronic and computer systems, 2020, vol. 4(96), pp. 106-115. DOI: 10.32620/reks.2020.4.10.
Dovbysh, A. S., Budnyk, M. M., Piatachenko, V. Yu., Myronenko, M. I. Information-Extreme Machine Learning of On-Board Vehicle Recognition System. Cybernetics and Systems Analysis, no. 56, pp. 534-543. DOI: 10.1007/s10559-020-00269-y.
Naumenko, I., Myronenko, M., Piatachenko, V. Information-extreme learning of on-board system for recognition of ground vehicle. Proceedings of the Second International Workshop on Computer Modeling and Intelligent Systems (CMIS-2019), Corpus ID: 146120351, pp. 121-132.
Zimovets, V. I., Shamatrin, S. V., Olada, D. E., Kalashnykova, N. I. Functional Diagnostic System for Multichannel Mine Lifting Machine Working in Factor Cluster Analysis Mode. Journal of Engineering Sciences, 2020, vol. 7, iss. 1, pp. E20-E27. DOI: 10.21272/jes.2020.7(1).e4.
Schonlau, Matthias. Visualizing non-hierarchical and hierarchical cluster analyses with clustergrams. Computational Statistics, 2004, vol. 19, pp. 95-111. DOI: 10.1007/BF02915278.
DOI: https://doi.org/10.32620/reks.2021.1.06
Refbacks
- There are currently no refbacks.