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pro vyhledávání: '"Kuikka, A."'
In order to improve the resilience of computer infrastructure against cyber attacks and finding ways to mitigate their impact we need to understand their structure and dynamics. Here we propose a novel network-based influence spreading model to inves
Externí odkaz:
http://arxiv.org/abs/2412.14375
Autor:
Vesa Kuikka, Kimmo K. Kaski
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-21 (2024)
Abstract The progress in high-performance computing makes it increasingly possible to build detailed models to investigate spreading processes on complex networks. However, current studies have been lacking detailed computational methods to describe
Externí odkaz:
https://doaj.org/article/86e7bcba55e14972a9096a0fdc613f86
Autor:
Kuikka, Vesa1 (AUTHOR) vesa.kuikka@aalto.fi, Kaski, Kimmo K.1,2 (AUTHOR)
Publikováno v:
Scientific Reports. 11/14/2024, Vol. 12 Issue 1, p1-21. 21p.
Autor:
Sanni Kuikka
Publikováno v:
Socius, Vol 10 (2024)
This article integrates scholarship on determinants of labor market transitions with the flexible modeling strategies available through machine learning. Leveraging population registers from Finland, this study analyzes how well we can predict (un)em
Externí odkaz:
https://doaj.org/article/6a3ec596170c4961a8b3310dc24e0a6b
Autor:
Into Almiala, Vesa Kuikka
Publikováno v:
AIMS Biophysics, Vol 10, Iss 2, Pp 173-183 (2023)
The modelling of epidemic spreading is essential in understanding the mechanisms of outbreaks and pandemics. Many models for different kinds of spreading have been proposed throughout the history of modelling, each suited for a specific scenario and
Externí odkaz:
https://doaj.org/article/7fd3c27b34a847a5aab749834a910c03
Autor:
Vesa Kuikka
Publikováno v:
Computation, Vol 12, Iss 4, p 85 (2024)
Community detection is a widely studied topic in network structure analysis. We propose a community detection method based on the search for the local maxima of an objective function. This objective function reflects the quality of candidate communit
Externí odkaz:
https://doaj.org/article/bc64006bebf64db0b21ccd4849e49ebb
Publikováno v:
In Ocean Engineering 15 December 2022 266 Part 4
Autor:
Hukkinen, Janne I., Eronen, Jussi T., Janasik, Nina, Kuikka, Sakari, Lehikoinen, Annukka, Lund, Peter D., Räisänen, Helmi, Virtanen, Mikko J.
Publikováno v:
In Safety Science February 2022 146
Akademický článek
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Publikováno v:
In Journal of Environmental Management 1 December 2021 299