Zobrazeno 1 - 10 of 273 pro vyhledávání: '"fisher linear discriminant analysis"'
1
Akademický článek
Improving Motor Imagery EEG Signals Classification Accuracy with CSP by Available Machine Learning Approach
Autor: Umme Farhana, Mst Jannatul Ferdous
Publikováno v: Journal of Engineering Science, Vol 12, Iss 2, Pp 67-77 (2021)
In brain computer interface (BCI) systems, the electroencephalography (EEG) signals give a pathway to a motor disabled person to communicate outside using the brain signal and a computer. EEG signals of different motor imagery (MI) movements can be d
Externí odkaz: https://doaj.org/article/184b3e1feb6b43968f8c24974d694e65
Zobrazit plný text záznamu
2
Akademický článek
A Naive-Bayes-Based Fault Diagnosis Approach for Analog Circuit by Using Image-Oriented Feature Extraction and Selection Technique
Autor: Wei He, Yigang He, Bing Li, Chaolong Zhang
Publikováno v: IEEE Access, Vol 8, Pp 5065-5079 (2020)
Analog circuit is one of the most commonly used components in industrial equipment, and circuit failure may lead to significant causalities and even enormous financial losses. To address this problem, a novel scheme based on the wavelet spectrum feat
Externí odkaz: https://doaj.org/article/a7b44f0027214b42b70a04e2a122afba
Zobrazit plný text záznamu
3
Akademický článek
Facial Expression Identification System Using fisher linear discriminant analysis and K- Nearest Neighbor Methods.
Autor: Abdulqadir Ismail Abdullah
Publikováno v: Zanco Journal of Pure and Applied Sciences, Vol 31, Iss 2, Pp 9-13 (2019)
Facial expression system has become an important and effective research area in many fields such as cognitive processes, medical care and interaction between man and computer. A facial expressions recognition system using each of FLDA with K-nearest
Externí odkaz: https://doaj.org/article/e6255a24f42a4a9aac07d60f84447ef4
Zobrazit plný text záznamu
4
Akademický článek
Fisher linear discriminant analysis for classification and prediction of genomic susceptibility to stomach and colorectal cancers based on six STR loci in a northern Chinese Han population
Autor: Shuhong Hao, Ming Ren, Dong Li, Yujie Sui, Qingyu Wang, Gaoyang Chen, Zhaoyan Li, Qiwei Yang
Publikováno v: PeerJ, Vol 7, p e7004 (2019)
Objective Gastrointestinal cancer is the leading cause of cancer-related death worldwide. The aim of this study was to verify whether the genotype of six short tandem repeat (STR) loci including AR, Bat-25, D5S346, ER1, ER2, and FGA is associated wit
Externí odkaz: https://doaj.org/article/2ad467f46e4241f880170218079aac8b
Zobrazit plný text záznamu
5
Akademický článek
A Rapid and Nondestructive Approach for the Classification of Different-Age Citri Reticulatae Pericarpium Using Portable Near Infrared Spectroscopy
Autor: Pao Li, Xinxin Zhang, Shangke Li, Guorong Du, Liwen Jiang, Xia Liu, Shenghua Ding, Yang Shan
Publikováno v: Sensors, Vol 20, Iss 6, p 1586 (2020)
Citri Reticulatae Pericarpium (CRP), has been used in China for hundreds of years as a functional food and medicine. However, some short-age CRPs are disguised as long-age CRPs by unscrupulous businessmen in order to obtain higher profits. In this pa
Externí odkaz: https://doaj.org/article/8df0066a574f4c26bc5c011fb9692a09
Zobrazit plný text záznamu
6
Improving Motor Imagery EEG Signals Classification Accuracy with CSP by Available Machine Learning Approach
Autor: Mst Jannatul Ferdous, Umme Farhana
Publikováno v: Journal of Engineering Science, Vol 12, Iss 2, Pp 67-77 (2021)
In brain computer interface (BCI) systems, the electroencephalography (EEG) signals give a pathway to a motor disabled person to communicate outside using the brain signal and a computer. EEG signals of different motor imagery (MI) movements can be d
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::50b0530f322407ba625ae392ff53b290
https://doi.org/10.3329/jes.v12i2.54632
Zobrazit plný text záznamu
7
Akademický článek
Parametric Fault Diagnosis of Analog Circuits Based on a Semi-Supervised Algorithm
Autor: Ling Wang, Dongfang Zhou, Hui Tian, Hao Zhang, Wei Zhang
Publikováno v: Symmetry, Vol 11, Iss 2, p 228 (2019)
The parametric fault diagnosis of analog circuits is very crucial for condition-based maintenance (CBM) in prognosis and health management. In order to improve the diagnostic rate of parametric faults in engineering applications, a semi-supervised ma
Externí odkaz: https://doaj.org/article/54c5afc19aa444faa5e45d1c2c934b29
Zobrazit plný text záznamu
8
Estimating Fisher discriminant error in a linear integrator model of neural population activity
Autor: Matias Calderini, Jean-Philippe Thivierge
Publikováno v: Journal of Mathematical Neuroscience, Vol 11, Iss 1, Pp 1-22 (2021)
Journal of Mathematical Neuroscience
Decoding approaches provide a useful means of estimating the information contained in neuronal circuits. In this work, we analyze the expected classification error of a decoder based on Fisher linear discriminant analysis. We provide expressions that
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::650d05a80043777d68ac756d41af3276
https://doaj.org/article/f1263cb61e114bd985861e69d1873235
Zobrazit plný text záznamu
9
A Naive-Bayes-Based Fault Diagnosis Approach for Analog Circuit by Using Image-Oriented Feature Extraction and Selection Technique
Autor: Chaolong Zhang, Yigang He, Wei He, Bing Li
Publikováno v: IEEE Access, Vol 8, Pp 5065-5079 (2020)
Analog circuit is one of the most commonly used components in industrial equipment, and circuit failure may lead to significant causalities and even enormous financial losses. To address this problem, a novel scheme based on the wavelet spectrum feat
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::742cab76a0a4c27cf9840142c026637a
https://ieeexplore.ieee.org/document/8781763/
Zobrazit plný text záznamu
10
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

Vyhledávací nástroje:

Upřesnit hledání

Omezení vyhledávání
Plný text Recenzováno Digitální knihovna AV ČR
Zdroje