Zobrazeno 1 - 10
of 19
pro vyhledávání: '"JiChao Yan"'
Publikováno v:
Third International Seminar on Artificial Intelligence, Networking, and Information Technology (AINIT 2022).
Publikováno v:
International Conference on Electronic Information Technology (EIT 2022).
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:
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
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
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
Publikováno v:
Medical Imaging: Image Processing
Interpretation of temporal CT images could help the radiologists to detect some subtle interval changes in the sequential examinations. The purpose of this study was to develop a fully automated scheme for accurate registration of temporal CT images
Publikováno v:
2016 6th International Conference on Digital Home (ICDH).
Haze is a common atmospheric phenomenon in our dairy life. Image taken in foggy environment will have a loss of contrast and color due to the effect of haze. The hazed image would make a big trouble to some vision-driven applications since low accura