Detecting Items with the Biggest Weight Based on Neural Network and Machine Learning Methods-Reference-Cited by-同舟云学术

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Detecting Items with the Biggest Weight Based on Neural Network and Machine Learning Methods

Published:2020 Issue: Volume: Page:383-396
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
Short-container-title:

Author:

Danylyk Vitaliy^ORCID,Vysotska Victoria^ORCID,Lytvyn Vasyl^ORCID,Vyshemyrska Svitlana^ORCID,Lurie Iryna^ORCID,Luchkevych Mykhailo^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-61656-4_26

Reference23 articles.

1. Usability of the site. http://www.sembook.ru/book/povyshenie-konversii-sayta/yuzabiliti-sayta/

2. Ux. https://skillbox.ru/media/des ign/srochno_uchi_ux/

3. Ux/ui design. https://branchup.pro/blog/chto-takoye-ui-ux-design

4. Almeida, F.M., Ribeiro, A., Ordonez, E.D., Montesco, C.A.: Performance evaluation of an artificial neural network multilayer perceptron with limited weights for detecting denial of service attack on Internet of Things. Traininge 11, 12 (2016)

5. Babichev, S., Škvor, J., Fišer, J., Lytvynenko, V.: Technology of gene expression profiles filtering based on wavelet analysis. Int. J. Intell. Syst. Appl. 10(4), 1–7 (2018). https://doi.org/10.5815/ijisa.2018.04.01

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