Zobrazeno 1 - 9
of 9
pro vyhledávání: '"YAODI LIU"'
Publikováno v:
IEEE Access, Vol 9, Pp 16062-16091 (2021)
Deep learning has become a research hotspot in the field of network intrusion detection. In order to further improve the detection accuracy and performance, we proposed an intrusion detection model based on improved deep belief network (DBN). Traditi
Externí odkaz:
https://doaj.org/article/eb1c72da57614156bbc29ca73c437a8a
Publikováno v:
Nanomaterials, Vol 12, Iss 7, p 1047 (2022)
It is of great significance to popularize and apply nanotechnology in forest plantations for the high-quality development of such areas. Camphor trees have good ecological and environmental benefits and are economic, which makes them worthy of widesp
Externí odkaz:
https://doaj.org/article/94b059d46d924150982c01a6728f50bf
Autor:
Yaodi LIU1, Ruiyang CHEN1
Publikováno v:
Asian Agricultural Research. Nov2023, Vol. 15 Issue 11, p31-34. 4p.
Publikováno v:
Meteorological & Environmental Research. Aug2023, Vol. 14 Issue 4, p70-73. 4p.
Publikováno v:
Acta Physica Polonica A. 141:630-633
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6eb7b4bc3c6d774afdc93fd91f9004c7
https://doi.org/10.12693/aphyspola.141.630
https://doi.org/10.12693/aphyspola.141.630
Publikováno v:
International Journal of Environmental Research and Public Health; Volume 19; Issue 24; Pages: 16680
The ability to effectively detect N-nitrosamine compounds by liquid chromatography–tandem mass spectrometry presents a challenge due to the problems of high detection limits and difficulty in simultaneous N-nitrosamine compound detection. In order
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac375c8bd07f87d5d8110107e7ae2b1b
https://pubmed.ncbi.nlm.nih.gov/36554561
https://pubmed.ncbi.nlm.nih.gov/36554561
Publikováno v:
Knowledge-Based Systems. 267:110428
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::30a8235a14e96cf42c7bf867b62ffb46
https://doi.org/10.1016/j.knosys.2023.110428
https://doi.org/10.1016/j.knosys.2023.110428
Publikováno v:
Acta Physica Polonica: A; Jun2022, Vol. 141 Issue 6, p630-633, 4p
Publikováno v:
Computers & Security. 103:102177
Intrusion detection system can effectively identify abnormal data in complex network environments, which is an effective method to ensure computer network security. Recently, deep neural networks have been widely used in image recognition, natural la
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::58dd2e46bb86068faf09db360638cedf
https://doi.org/10.1016/j.cose.2021.102177
https://doi.org/10.1016/j.cose.2021.102177