Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Zhongcui Li"'
Autor:
Jimmy Ming-Tai Wu, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Youcef Djenouri, Chun-Hao Chen, Zhongcui Li
Publikováno v:
Mathematical Biosciences and Engineering, Vol 16, Iss 3, Pp 1718-1728 (2019)
Privacy-preserving data mining has become an interesting and emerging issue in recent years since it can, not only hide the sensitive information but still mine the meaningful knowledge at the same time. Since privacy-preserving data mining is a non-
Externí odkaz:
https://doaj.org/article/35b5ef921706419eab7dc69998a42bce
Publikováno v:
Multimedia Systems
MULTIMEDIA SYSTEMS. 2021, vol. 28, issue 0, p. 1-20.
MULTIMEDIA SYSTEMS. 2021, vol. 28, issue 0, p. 1-20.
In today’s society, investment wealth management has become a mainstream of the contemporary era. Investment wealth management refers to the use of funds by investors to arrange funds reasonably, for example, savings, bank financial products, bonds
Publikováno v:
Software: Practice and Experience. 51:628-644
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9789811680472
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3af89880e9efab21022a2cb746a2a3a6
https://doi.org/10.1007/978-981-16-8048-9_3
https://doi.org/10.1007/978-981-16-8048-9_3
Publikováno v:
IFAC-Papers
Stock prediction has become an emerging issue in recent decades and many studies have incorporated it with social systems to provide a better accuracy for the prediction results. Machine learning (ML) model is widely studied and developed to show bet
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::387971e24cd8847e312a353cb7dce2d8
https://hdl.handle.net/11250/2984933
https://hdl.handle.net/11250/2984933
Autor:
Zhongcui Li, Jimmy Ming-Tai Wu, Youcef Djenouri, Jerry Chun-Wei Lin, Gautam Srivastava, Dawid Połap
Publikováno v:
Artificial Intelligence and Soft Computing ISBN: 9783030879853
ICAISC (1)
ICAISC (1)
In this paper, we presented a novel model that combines Convolution Neural Network (CNN) and Long Short-term Memory Neural Network (LSTM) for better and accurate stock price prediction. We then developed a model called stock sequence array convolutio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::35ddb0399194094d207a2809d243a408
https://doi.org/10.1007/978-3-030-87986-0_23
https://doi.org/10.1007/978-3-030-87986-0_23
Autor:
Zhongcui Li, Vicente García Díaz, Jaroslav Frnda, Gautam Srivastava, Jerry Chun-Wei Lin, Jimmy Ming-Tai Wu
Publikováno v:
2020 International Conference on Pervasive Artificial Intelligence (ICPAI).
In this paper, focusing on the task of feature extraction using financial time series as well as trend prediction for prices, a new stock sequence array convolutional neural network model is presented. This model shows promising results in improving
Publikováno v:
RSC Advances. 5:43328-43333
1D upconversion CeO2:Er, Yb nanofibers, which could absorb NIR light and upconvert it to visible light, to increase the photocurrent of DSSCs has been fabricated by an electrospinning method. The products were confirmed by transmission electron micro