Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Hara, Sukhvinder"'
Publikováno v:
Information Security Technologies for Controlling Pandemics ISBN: 9783030721190
Since the world's first ATM was unveiled in London in 1967, the deployment of digital financial services has exploded. However, the issue of access for vulnerable groups such as elderly people, people with disabilities, financially less well off peop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f189b5b82a1c8c0dd31478d03859eaa1
https://doi.org/10.1007/978-3-030-72120-6_3
https://doi.org/10.1007/978-3-030-72120-6_3
Akademický článek
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Publikováno v:
Global Security, Safety & Sustainability - The Security Challenges of the Connected World; 2016, p12-26, 15p
Publikováno v:
ACM International Conference Proceeding Series; 5/27/2014, p1-4, 4p
Publikováno v:
EuroVAST 2010: The 1st European Symposium on Visual Analytics Science and Technology.
Since Visual Analytic systems support human sensemaking it is essential that such systems are designed with\ud characteristics of this process in mind. Drawing on our previous work with lawyers and reports from experienced\ud fraud investigators we d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::6429443ddf8c49679990953782056194
https://eprints.mdx.ac.uk/6801/1/Attfield-_Sensemaking_in_Visual_Analytics_-_authors_final_manuscript.pdf
https://eprints.mdx.ac.uk/6801/1/Attfield-_Sensemaking_in_Visual_Analytics_-_authors_final_manuscript.pdf
Publikováno v:
Financial Services User Group (FSUG)
The digitalization of financial services presents an unprecedented opportunity to increase the financial autonomy of millions of vulnerable people across the European Union. Implemented carefully, with reference to their needs, digitalization can ben
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::9c7f78602cdf46882871d6b1045da6c8
https://eprints.mdx.ac.uk/26191/1/fsug-study-181001-digitalisation-financial-inclusion_en.pdf
https://eprints.mdx.ac.uk/26191/1/fsug-study-181001-digitalisation-financial-inclusion_en.pdf
Publikováno v:
Privacy, Security And Forensics in The Internet of Things (IoT) ISBN: 9783030912178
This chapter compares three different machine learning techniques, i.e. Gaussian process classification, decision tree classification and support vector classification, based on their ability to learn and detect the attributes of a malicious website.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b0cea89f5920e68b0c81e64481d5a38a
https://cronfa.swan.ac.uk/Record/cronfa62969
https://cronfa.swan.ac.uk/Record/cronfa62969