Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Xin-Rong Chen"'
Publikováno v:
IEEE Access, Vol 7, Pp 137489-137500 (2019)
In recent years, the analysis of surface electromyography (sEMG) signals by feature engineering and machine learning has developed rapidly. However, when feature engineering is applied to feature extraction of sEMG signals, important feature informat
Externí odkaz:
https://doaj.org/article/a6aeca0dbf6c4701a055da658bfd787a
Publikováno v:
Behavioral Sciences, Vol 12, Iss 4, p 92 (2022)
It has long been known that Easterners exhibit more conservative attitudes, cautiousness behaviors, and self-control ability than Westerners; people in Eastern countries show stronger defensive reactions to societal threats than Western people. Are E
Externí odkaz:
https://doaj.org/article/c4bd7dd17e4046118dac0043026bc238
Autor:
Xin-Rong Chen, 陳信融
104
The time sequence classification problem has been studied over a decade. Basically, time series classification can be categorized into three types, including distance-based, model-based, and feature-based. We focus on feature-based methods,
The time sequence classification problem has been studied over a decade. Basically, time series classification can be categorized into three types, including distance-based, model-based, and feature-based. We focus on feature-based methods,
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/26421258104466271323
Publikováno v:
New Carbon Materials. 38:337-344
Publikováno v:
Journal of Materials Chemistry A. 10:12168-12176
A multi-cavity carbon nanofiber film decorated with Co-Nx doped CNTs can act as a binder-free sulfur host and an interlayer, which delivers a high areal capacity under high sulfur loading and low E/S ratio.
Publikováno v:
Mobile Networks and Applications. 25:2447-2458
It is conducive to the application of sEMG signals in helping disabled people through combining wearable devices with deep learning. Therefore, design of sEMG gesture recognition system using deep learning based on wearable device is proposed in this
Autor:
Xiang-Jun, Qi, Xin-Rong, Chen, Jia-Hao, Mo, Pei-Xin, Li, Meng-Yi, Cai, Wan-Ning, Lan, Han-Rui, Chen, Zhuang-Zhong, Chen, Guo-Ming, Chen, Li-Zhu, Lin
Publikováno v:
Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica. 46(15)
The tumor prescriptions contained in Dictionary of Tumor Formulas, Compendium of Good Tumor Formulas, Chinese Pharmacopoeia, Ministry of Health Drug Standards for Chinese Medicine Formulas and National Compilation of Standards for Proprietary Chinese
Publikováno v:
IEEE Access, Vol 7, Pp 137489-137500 (2019)
In recent years, the analysis of surface electromyography (sEMG) signals by feature engineering and machine learning has developed rapidly. However, when feature engineering is applied to feature extraction of sEMG signals, important feature informat
Publikováno v:
Machine Learning and Intelligent Communications ISBN: 9783030323875
MLICOM
MLICOM
Nowadays, surface electromyography (sEMG) signal plays an important role in helping physically disabled people during daily life. The development of electronic information technology has also led to the emergence of low-cost, multi-channel, wearable
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f487c20de5c233c3eb60830842c7fde7
https://doi.org/10.1007/978-3-030-32388-2_48
https://doi.org/10.1007/978-3-030-32388-2_48
Publikováno v:
IEEE BigData
The time series classification has been studied for various applications in the last decades. In the time series classification problem, we decide the class information based on a small piece of the time series inputs. In general, the approaches to t