Zobrazeno 1 - 10
of 25
pro vyhledávání: '"JiChao Yan"'
Publikováno v:
Third International Seminar on Artificial Intelligence, Networking, and Information Technology (AINIT 2022).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::255dd9803aeaa20b3f67a437477c16d9
https://doi.org/10.1117/12.2667314
https://doi.org/10.1117/12.2667314
Autor:
Su Wang, Shufen Zhong, Ying Huang, Songling Zhu, Shuangfeng Chen, Ran Wang, Sonam Wangmo, Bo Peng, Houkun Lv, Jichao Yang, Liyan Ma, Zhiyang Ling, Yaguang Zhang, Pengfei Sui, Bing Sun
Publikováno v:
Journal of Innate Immunity, Vol 16, Iss 1, Pp 397-412 (2024)
Introduction: MDM2 is known as the primary negative regulator of p53, and MDM2 promotes lung cancer fibrosis and lung injury through p53-dependent and p53-independent pathways. However, the mechanism by which MDM2 influences the pathogenesis of asthm
Externí odkaz:
https://doaj.org/article/824f3d6dab2643d292de67f3612b2047
Publikováno v:
International Conference on Electronic Information Technology (EIT 2022).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e6b9fbe85b4e843885690b1114c1bacc
https://doi.org/10.1117/12.2640230
https://doi.org/10.1117/12.2640230
Publikováno v:
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783031211638
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::565e6244c84b639ae5a2f1bf90633134
https://doi.org/10.1007/978-3-031-21164-5_13
https://doi.org/10.1007/978-3-031-21164-5_13
Autor:
Jingya Zheng, Jichao Yan
Publikováno v:
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783030825645
In order to solve the problem of poor security caused by data explosion in the traditional open sharing method of digital education training resources, this paper proposes a machine learning based open sharing method. Based on the national general co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc92661f24168c4e4971120a0e63b68d
https://doi.org/10.1007/978-3-030-82565-2_12
https://doi.org/10.1007/978-3-030-82565-2_12
Autor:
Zheng Jingya, Jichao Yan
Publikováno v:
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783030825645
The accuracy of mining implicit teaching resources in traditional universities is low, so a method of mining implicit teaching resources in universities based on machine learning is designed. Firstly, it designs the process of data mining, define the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1e25def43aa7ac08c7ca3f52f6e6bb6e
https://doi.org/10.1007/978-3-030-82565-2_15
https://doi.org/10.1007/978-3-030-82565-2_15
Publikováno v:
Sensors, Vol 24, Iss 18, p 6042 (2024)
This paper addresses the collaborative localization problem for unmanned surface vehicle (USV) clusters with random measurement delays. We propose a Cubature Kalman Hybrid Consensus Filter (CKHCF) based on the cubature Kalman filter (CKF) for widely
Externí odkaz:
https://doaj.org/article/076cf85b4a8c4146af13f09f33907694
Publikováno v:
Medical Imaging: Image Processing
Temporal subtraction of sequential chest radiographs based on image registration technique has been developed for decades to assist radiologists in the detection of interval changes. Although the performance of current methods is good, the computatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5bc13e3dfe2b9e84d085a5bc83e152cd
https://doi.org/10.1117/12.2549211
https://doi.org/10.1117/12.2549211
Autor:
Jichao Yan
Publikováno v:
DSA
In order to solve the problems of inaccurate test results and excessive detection time in the traditional teaching software stability testing system, a multimedia courseware aided teaching software stability testing system is proposed and designed. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1ff1a363e39912c198c65daad2434595
https://doi.org/10.1109/dsa.2019.00021
https://doi.org/10.1109/dsa.2019.00021
Publikováno v:
Signal, Image and Video Processing. 12:1001-1008
In scene dehazing problem, single image haze prediction is one of the most challenging issues. In this paper, we propose a hybrid features learning model (HFLM) for haze prediction. HFLM takes a hazy image as the input, and outputs its medium transmi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::83fd6a7a4dac9ebe8795520dfc78b0ad
https://doi.org/10.1007/s11760-018-1245-5
https://doi.org/10.1007/s11760-018-1245-5