Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Dinh Minh Vu"'
Publikováno v:
IET Communications, Vol 18, Iss 17, Pp 1107-1125 (2024)
Abstract In the era of industry 4.0 and the widespread use of digital devices, the number of cyber attacks poses an escalating and diverse threat, jeopardizing users' online activities. Intrusion detection systems (IDS) emerge as pivotal solutions, p
Externí odkaz:
https://doaj.org/article/3430b12fd5854ba782fa7d1e9a1a7fe5
An alarming number of cyber attacks have been witnessed in recent years, especially during COVID-19 epidemic. Many prevention measures have been proposed as a defense line for a network infrastructure, including Intrusion Detection System (IDS). A va
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ff4be2ad76732dc3ba4c361775415458
https://doi.org/10.21203/rs.3.rs-2554201/v1
https://doi.org/10.21203/rs.3.rs-2554201/v1
Autor:
Dinh-Minh Vu
Publikováno v:
International Journal of Knowledge Engineering. :7-11
Publikováno v:
ICCMS
A simulation model for pedestrian navigation often requires many problems to be addressed. An example is pedestrian path-planning in the case of a moving obstacle within the environment. To resolve the problem, it is necessary to model the prediction
Publikováno v:
ICISS
Most microscopic pedestrian navigation models use the concept of "forces" applied to the pedestrian agents to replicate the navigation environment. While the approach could provide believable results in regular situations, it does not always resemble
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::51870985fc47c018ab074a98e2bbfc5c
http://arxiv.org/abs/1912.02945
http://arxiv.org/abs/1912.02945
Publikováno v:
Arabian Journal for Science and Engineering. 44:2933-2944
The novel model namely semi-supervised clustering in the fuzzy min–max neural network is proposed. This model is based on fuzzy min–max neural network and semi-supervised learning method. This model is able to consider as a binary classifier in o
Akademický článek
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Publikováno v:
Advances in Information and Communication Technology ISBN: 9783319490724
The Fuzzy Min max Neural Network (FMNN) developed by Simpson is defined as a neural network that forms hyperboxes for classification and prediction. This paper proposes an improvement in learning algorithm in FMNN using semi-supervised clustering met
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af86a830f32d87a6f1a2c69d09056847
https://doi.org/10.1007/978-3-319-49073-1_58
https://doi.org/10.1007/978-3-319-49073-1_58