Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Zhaogen ZHONG"'
Publikováno v:
IEEE Access, Vol 12, Pp 67860-67879 (2024)
To solve the problem that the existing intrusion traffic detection models generally adopt machine learning algorithm and supervised deep learning algorithm, and the classification accuracy of model small samples is low, A unsupervised learning intrus
Externí odkaz:
https://doaj.org/article/9b7d533e15434b6194b241416cd29c3a
Publikováno v:
Applied Sciences, Vol 14, Iss 15, p 6482 (2024)
With the development of seaborne trade, international maritime crime is becoming increasingly complex. Detecting maritime threats by fusing the physical movement data from traditional physical sensors is not sufficient. Thus, soft data, including int
Externí odkaz:
https://doaj.org/article/5bd7838161f642d686e5f45dddb36b49
Publikováno v:
IEEE Access, Vol 11, Pp 11934-11946 (2023)
Obtaining larger category-label-containing training signal datasets in non-cooperative scenarios is difficult. Moreover, employing smaller labeled signal datasets for specific emitter identification is technically challenging. Therefore, we propose a
Externí odkaz:
https://doaj.org/article/60f60d3b29b9472a8f10702e17947879
Publikováno v:
Tongxin xuebao, Vol 42, Pp 1-10 (2021)
In order to reconstruct the sparse check matrix of LDPC, a new algorithm which could directly reconstruct the LDPC was proposed.Firstly, according to the principle of the traditional reconstruction algorithm, the defects of the traditional algorithm
Externí odkaz:
https://doaj.org/article/e0fb23e073ef447494fcbe67dabc375c
Publikováno v:
Applied Sciences, Vol 13, Iss 9, p 5748 (2023)
Entity alignment helps discover and link entities from different knowledge graphs (KGs) that refer to the same real-world entity, making it a critical technique for KG fusion. Most entity alignment methods are based on knowledge representation learni
Externí odkaz:
https://doaj.org/article/11c0c76c42ce4cffa67746e7484eb1dd
Publikováno v:
Tongxin xuebao, Vol 41, Pp 60-71 (2020)
In order to solve the problem of the blind recognition of polar codes, the theorem 1 and theorem 2 were proved firstly, which reflects the relationship between length and rate of actual polar codes, and then theorem 3 which could distinguish frozen b
Externí odkaz:
https://doaj.org/article/929381b8cc40440096683e5e59b4b070
Publikováno v:
Tongxin xuebao, Vol 41, Pp 15-24 (2020)
In order to overcome the poor performance of existing algorithms for recognition of BCH code in low signal-to-noise ratio (SNR),a recognition algorithm based on average cosine conformity was proposed.Firstly,by traversing the possible values of code
Externí odkaz:
https://doaj.org/article/4d066274a66844fa9e8d40272aeb676a
Publikováno v:
Applied Sciences, Vol 12, Iss 21, p 11305 (2022)
Aiming to solve the problem of the distinction of scrambled linear block codes, a method for identifying the scrambling types of linear block codes by combining correlation features and convolution long short-term memory neural networks is proposed i
Externí odkaz:
https://doaj.org/article/064efe86888e497b8f39e50d6a6f6938
Publikováno v:
Tongxin xuebao, Vol 39, Pp 79-86 (2018)
A new algorithm based on logarithmic conformity was proposed.Firstly,based on the probability of total RSC coding equation,the concept of logarithmic coincidence degree,which could measure the establishment of coding equation,was introduced.Then beca
Externí odkaz:
https://doaj.org/article/49b11e35065c4764861e0bf2353f2fee
Publikováno v:
IEEE Sensors Journal. 22:18008-18020
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26453fd98208f65f7a404942353a99f3
https://doi.org/10.1109/jsen.2022.3195065
https://doi.org/10.1109/jsen.2022.3195065