Zobrazeno 1 - 10
of 68
pro vyhledávání: '"Partial least squares regression"'
Publikováno v:
IEEE Access, Vol 10, Pp 52832-52839 (2022)
Gait stability indices that can be easily measured and computed are required in both clinical and commercial applications. We established a novel gait stability index based on kinematic information that was substantially correlated with the margin of
Externí odkaz:
https://doaj.org/article/e55cf63839e14d16b74b4f7bc6ad0d74
Publikováno v:
IEEE Access, Vol 9, Pp 99143-99154 (2021)
The issue of air quality has attracted more and more attention. The main methods for monitoring the concentration of pollutants in the air include national monitoring station monitoring and micro air quality detector testing. Since the electrochemica
Externí odkaz:
https://doaj.org/article/143a3719062a4cbf95e70a4bb096aef6
Autor:
Wang Rui, Wu Shuang, Wu Kan, Huang Shiqiao, Wu Ruijie, Liu Bo, Lin Min, Li Liang, Zhou Dawei, Diao Xinpeng
Publikováno v:
IEEE Access, Vol 9, Pp 64880-64894 (2021)
With the exploitation of mineral resources, pollution of the ecological environment in mines has garnered public attention. Particularly,erosion of the surrounding ecological environment re-sulting from heavy metals in tailings pond could be highly c
Externí odkaz:
https://doaj.org/article/bfbadcbd3709440581b8a37c90a42069
Publikováno v:
IEEE Access, Vol 8, Pp 60392-60400 (2020)
The internet search data will help the disease control department to estimate the disease in advance. The H7N9 epidemic that occurred in Guangxi Province was used as an example to demonstrate its association with Baidu search data. At first,16 search
Externí odkaz:
https://doaj.org/article/518427e308e340a6bda57d070d2476dd
Autor:
Vickie B. Shim, Samantha Holdsworth, Allen A. Champagne, Nicole S. Coverdale, Douglas J. Cook, Tae-Rin Lee, Alan D. Wang, Shaofan Li, Justin W. Fernandez
Publikováno v:
IEEE Access, Vol 8, Pp 179457-179465 (2020)
Mild traumatic brain injury (mTBI) is a significant issue worldwide. Public awareness of the dangers of mTBI has increased sharply in recent years, yet there is no easy-to-use tool available for early detection and post injury management. Computation
Externí odkaz:
https://doaj.org/article/b638ec3ad0c34e17b9da958d91f7bd1c
Publikováno v:
IEEE Access, Vol 8, Pp 157482-157492 (2020)
Kernel partial least squares regression (KPLS) is a technique used in several scientific areas because of its high predictive ability. This article proposes a methodology to simultaneously estimate both the parameters of the kernel function and the n
Externí odkaz:
https://doaj.org/article/d2f4b2fefbb1447d819b2f9aad2a7be9
Publikováno v:
IEEE Access, Vol 7, Pp 8028-8038 (2019)
Aggressive driving, amongst inappropriate driving behaviors, is largely responsible for leading to traffic accidents, which threatens both the safety and property of human beings. With the objective to reduce traffic accidents and improve road safety
Externí odkaz:
https://doaj.org/article/c19a9fe076d642bb8be1c1307204068f
Publikováno v:
IEEE Access, Vol 6, Pp 69978-69987 (2018)
In order to reduce the calculation cost and improve the robustness of appearance model, this paper presents an optimal object tracking method that consists of improved inverse sparse representation and global spatial envelope. First, partial least sq
Externí odkaz:
https://doaj.org/article/26e9309d599c4fd7862f53a147efc60b
Publikováno v:
IEEE Access, Vol 9, Pp 45955-45967 (2021)
The statistically inspired modification of the partial least squares (SIMPLS) is the most commonly used algorithm to solve a partial least squares regression problem when the number of explanatory variables ( $p$ ) is larger than the sample size ( $n
Publikováno v:
IEEE Access, Vol 9, Pp 132733-132745 (2021)
To date, quality-related multivariate statistical methods are extensively used in process monitoring and have achieved admirable effects. However, most of them contain recursive processes, which result in higher time complexity and are not suitable f