Zobrazeno 1 - 10
of 902
pro vyhledávání: '"chaotic neural network"'
Autor:
Shaojun Sheng, Xin Wang
Publikováno v:
Alexandria Engineering Journal, Vol 77, Iss , Pp 567-579 (2023)
Network abnormal traffic detection is a hot topic in network security. Based on the theory of chaotic neural network, this paper constructs a network traffic anomaly detection model to solve the problems of high dimension of abnormal traffic and over
Externí odkaz:
https://doaj.org/article/ac35fdaadc514e57a653c12e07a1610d
Publikováno v:
网络与信息安全学报, Vol 9, Pp 1-15 (2023)
In recent years, widely used hash algorithms such as MD5 and SHA-1 have been found to have varying degrees of security risks.The iterative structure of the SHA-2 algorithm is similar to that of SHA-1, making it vulnerable to attacks as well.Meanwhile
Externí odkaz:
https://doaj.org/article/588ed20ad0dc4ea7b523bf6f0a5d8451
Autor:
Chengzhi Zhao, Ao Zhang
Publikováno v:
IEEE Access, Vol 11, Pp 72101-72107 (2023)
This paper presents a novel dynamic frequency assignment (DFA) technique for cognitive radio cellular networks (CRCNs) using hysteretic noisy chaotic neural network (HNCNN). HNCNN is a novel neural network that combines the advantages of stochastic c
Externí odkaz:
https://doaj.org/article/8e762a69480946cabaf7363af4292ac9
Publikováno v:
Alexandria Engineering Journal, Vol 61, Iss 12, Pp 11377-11389 (2022)
Industrial Internet of Things (IIoT) denotes a network of interlinked sensors, instruments, and other devices for industrial applications in the domains of manufacturing, logistics, transportation, etc. IIoT security is a major crucial research area
Externí odkaz:
https://doaj.org/article/c66ad3f458814b2b97d0c1a0563e1fa8
Autor:
Conghuan Ye, Cong Chen
Publikováno v:
Complex & Intelligent Systems, Vol 9, Iss 2, Pp 1653-1670 (2022)
Abstract The smart healthcare system (SHCS) facilitates the healthcare process with the widespread use of medical data through the internet of medical things (IoMT). Widespread use of medical data, especially medical images can also lead to privacy i
Externí odkaz:
https://doaj.org/article/59b9bb47b44849899cdb89b2d45e7dab
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Cihan Karakuzu, Sefa Tunçer
Publikováno v:
Sakarya University Journal of Computer and Information Sciences, Vol 5, Iss 1, Pp 37-47 (2022)
Nowadays, chaotic systems are used quite often, especially in image encryption applications. Hypersensitivity to the initial conditions, limited field-changing signs and irregular movements make these systems one of the critical elements in scientifi
Externí odkaz:
https://doaj.org/article/595a1fcdbdb24ab5bc231f6a3bd80da4
Publikováno v:
Fractal and Fractional, Vol 7, Iss 9, p 697 (2023)
Aiming at the problem that the global search performance of a transiently chaotic neural network is not ideal, a multiple frequency conversion sinusoidal chaotic neural network (MFCSCNN) model is proposed based on the biological mechanism of the brai
Externí odkaz:
https://doaj.org/article/414b531ca4894b24a67608f856822547
Publikováno v:
IEEE Access, Vol 10, Pp 129564-129579 (2022)
Long Short-Term Memory (LSTM) networks are unique to exercise data in its memory cell with long-term memory as Natural Language Processing (NLP) tasks have inklings of intensive time and computational power due to their complex structures like magnit
Externí odkaz:
https://doaj.org/article/8dbd181cc9874ff484bba51d0f1843f7