Zobrazeno 1 - 10
of 781
pro vyhledávání: '"Data complexity"'
Publikováno v:
Digital Communications and Networks, Vol 10, Iss 2, Pp 416-428 (2024)
The security of Federated Learning (FL)/Distributed Machine Learning (DML) is gravely threatened by data poisoning attacks, which destroy the usability of the model by contaminating training samples, so such attacks are called causative availability
Externí odkaz:
https://doaj.org/article/482c07dc7e154d4ab3e527506cbfe2aa
Autor:
Song-Kyoo Kim, Xiaomei Feng, Hussam Al Hamadi, Ernesto Damiani, Chan Yeob Yeun, Sivaprasad Nandyala
Publikováno v:
IEEE Access, Vol 12, Pp 115296-115305 (2024)
In the area of machine learning (ML) training data optimization through the construction of compact data, the focus of this paper is presented. The concept of compact data design, aimed at creating an optimized dataset that maximizes benefits without
Externí odkaz:
https://doaj.org/article/2419f89ddae04656bf3448a2833fcae4
Autor:
Narinthon Imjai, Trairong Swatdikun, Prasit Rungruang, Rohaida Basiruddin, Somnuk Aujirapongpan
Publikováno v:
Journal of Open Innovation: Technology, Market and Complexity, Vol 10, Iss 2, Pp 100308- (2024)
This research fills a significant knowledge gap by exploring the development of Big Data Analytics Skills (BAS), Diagnostic Skills (DS), and Forensic Accounting Skills (FAS) among Generation Z accounting students in Thailand. Employing a quantitative
Externí odkaz:
https://doaj.org/article/a6b1ddec16a84fa6bc75a3cee8e1e459
Autor:
Xiaomei Feng, Song-Kyoo Kim
Publikováno v:
Mathematics, Vol 12, Iss 12, p 1869 (2024)
This research deals with the critical issue of credit card fraud, a problem that has escalated in the last decade due to the significant increase in credit card usage, largely driven by advances in international trade, e-commerce, and FinTech. With g
Externí odkaz:
https://doaj.org/article/a40ab86a537047dc86d017454d064d4a
Publikováno v:
Entropy, Vol 26, Iss 6, p 484 (2024)
Given the rapid advancement of artificial intelligence, understanding the foundations of intelligent behaviour is increasingly important. Active inference, regarded as a general theory of behaviour, offers a principled approach to probing the basis o
Externí odkaz:
https://doaj.org/article/8b901855de1c49c699b9b71ed518fc47
Autor:
Pratt-Hartmann, Ian, author
Publikováno v:
Fragments of First-Order Logic, 2023, ill.
Externí odkaz:
https://doi.org/10.1093/oso/9780192867964.003.0009
Autor:
Pratt-Hartmann, Ian, author
Publikováno v:
Fragments of First-Order Logic, 2023, ill.
Externí odkaz:
https://doi.org/10.1093/oso/9780192867964.003.0010
Akademický článek
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Autor:
Deepali Bassi, Hardeep Singh
Publikováno v:
e-Informatica Software Engineering Journal, Vol 17, Iss 1 (2023)
Background: Prediction of software vulnerabilities is a major concern in the field of software security. Many researchers have worked to construct various software vulnerability prediction (SVP) models. The emerging machine learning domain aids in bu
Externí odkaz:
https://doaj.org/article/ee9c5f0bb73848f78961b2722ef6b760
Akademický článek
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