Zobrazeno 1 - 10
of 213
pro vyhledávání: '"Silong Peng"'
Autor:
Md Arju Hossain, Md Sohel, Md Habibur Rahman, Md Imran Hasan, Md Sharif Khan, Md Al Amin, Md Zahidul Islam, Silong Peng
Publikováno v:
PLoS ONE, Vol 18, Iss 1, p e0265746 (2023)
Despite modern treatment, infertility remains one of the most common gynecologic diseases causing severe health effects worldwide. The clinical and epidemiological data have shown that several cancerous risk factors are strongly linked to Female Infe
Externí odkaz:
https://doaj.org/article/b7989f10532049aa9251c030a1afe4e2
Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2020, Iss 1, Pp 1-15 (2020)
Abstract This paper addresses the traditional issue of restoring a high-resolution (HR) facial image from a low-resolution (LR) counterpart. Current state-of-the-art super-resolution (SR) methods commonly adopt the convolutional neural networks to le
Externí odkaz:
https://doaj.org/article/165648dad7d54de687fc3bfd153d4203
Autor:
Md Habibur Rahman, Silong Peng, Xiyuan Hu, Chen Chen, Shahadat Uddin, Julian M. W. Quinn, Mohammad Ali Moni
Publikováno v:
IEEE Access, Vol 7, Pp 183948-183970 (2019)
Type 2 diabetes (T2D) is a chronic metabolic disorder characterised by high blood sugar and insulin insensitivity which greatly increases the risk of developing neurological diseases (NDs). The co-existence of T2D and comorbidities such as NDs can co
Externí odkaz:
https://doaj.org/article/77d000f017b6483bb12f3df38ce4b766
Publikováno v:
IEEE Access, Vol 7, Pp 101633-101640 (2019)
Rectified linear unit (ReLU) plays an important role in today’s convolutional neural networks (CNNs). In this paper, we propose a novel activation function called Rectified Exponential Unit (REU). Inspired by two recently proposed activation functi
Externí odkaz:
https://doaj.org/article/0c47877218c14b8d9459f1ca37c2842a
Publikováno v:
Molecules, Vol 24, Iss 9, p 1802 (2019)
Calibration transfer is an important field for near-infrared (NIR) spectroscopy in practical applications. However, most transfer methods are constructed with standard samples, which are expensive and difficult to obtain. Taking this problem into acc
Externí odkaz:
https://doaj.org/article/792bda4552af499094bde62bd44b0d2e
Publikováno v:
PLoS ONE, Vol 9, Iss 5, p e96944 (2014)
Linear discriminant analysis (LDA) is a classical statistical approach for dimensionality reduction and classification. In many cases, the projection direction of the classical and extended LDA methods is not considered optimal for special applicatio
Externí odkaz:
https://doaj.org/article/da1f0ba2699846309ca5312911630bc9
Autor:
Jingpeng Sun, Kai Yuan, Chen Chen, Heng Xu, Hesong Wang, Yuxing Zhi, Silong Peng, Chung-Kang Peng, Norden Huang, Guangrui Huang, Albert Yang
Publikováno v:
IEEE Journal of Biomedical and Health Informatics. :1-10
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26cb80a119b0690fd918bcb908971789
https://doi.org/10.1109/jbhi.2023.3268081
https://doi.org/10.1109/jbhi.2023.3268081
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 23:24578-24587
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::da865257f0267d7367280a1765d13fe3
https://doi.org/10.1109/tits.2022.3190959
https://doi.org/10.1109/tits.2022.3190959
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 36:2595-2603
3D facial landmark detection is extensively used in many research fields such as face registration, facial shape analysis, and face recognition. Most existing methods involve traditional features and 3D face models for the detection of landmarks, and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::312a181681e2545f02f64ef52df8fd68
https://doi.org/10.1609/aaai.v36i3.20161
https://doi.org/10.1609/aaai.v36i3.20161
Autor:
Jinshuai Wang, Yuchang Zhang, Silong Peng, Siyu Yu, Jingyu Ran, Kian Jon Chua, Menghe Li, null Yunlin Shao, Shetian Liu
Publikováno v:
International Journal of Hydrogen Energy.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::412b977b51b763abde05d11633a40c65
https://doi.org/10.1016/j.ijhydene.2023.03.450
https://doi.org/10.1016/j.ijhydene.2023.03.450