Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Qun Zuo"'
Publikováno v:
Frontiers in Endocrinology, Vol 15 (2024)
BackgroundSufficient physical activity and sleep duration are essential for overall health. While one-third of the US population reports short sleep (
Externí odkaz:
https://doaj.org/article/5561495e31474ad6864e4a13eb203be7
Publikováno v:
PeerJ, Vol 11, p e16173 (2023)
Objectives Existing assertions about the relationship between various factors of the built environment and physical activity behaviors are inconsistent and warrant further exploration and analysis. Methods This study systematically searched PubMed, E
Externí odkaz:
https://doaj.org/article/b154916cb52f433fbc8a05dd727b5d8d
Publikováno v:
Chinese Journal of Traumatology, Vol 21, Iss 2, Pp 88-95 (2018)
Purpose: Macrophages are known to be important for healing numerous injured tissues depending on their functional phenotypes in response to different stimuli. The objective of this study was to reveal macrophage phenotypic changes involved in exercis
Externí odkaz:
https://doaj.org/article/23b25f861f2b42b69baa86e6c6748046
Publikováno v:
IEEE Access, Vol 7, Pp 62616-62623 (2019)
Aiming at the situation that complex natural scene text is difficult to recognize a scene text recognition method based on an encoder-decoder framework is proposed. The method converts the natural text recognition into a sequence mark by combining th
Externí odkaz:
https://doaj.org/article/4976cc1f6d674a1c8aad7f73101c3804
Publikováno v:
IEEE Access, Vol 7, Pp 176504-176513 (2019)
Aiming at the situation that complementary ensemble empirical mode decomposition (CEEMD) noise suppression method may produce redundant noise and wavelet transform easily loses high-frequency detail information, considering wavelet packet transform c
Externí odkaz:
https://doaj.org/article/452c1cc61f164079af1291891392ba77
Publikováno v:
IEEE Access, Vol 7, Pp 110740-110748 (2019)
Deep learning achieves substantial improvements in face detection. However, the existing methods need to input fixed-size images for image processing and most methods use a single network for feature extraction, which makes the model generalization a
Externí odkaz:
https://doaj.org/article/2bf8e1940f3d44bc8fb53aaa482be88b
Autor:
Qun Zuo, Zhangquan Gao, Li Cai, Linlin Bai, Yu Pei, Mengchao Liu, Hongmei Xue, Juan Xu, Shusong Wang
Publikováno v:
Congenital Anomalies. 62:142-152
To develop a predicting model of child-bearing-aged women' spontaneous abortion (SA) by co-infections of TORCH and reproductive tract, in order to provide a reference tool for accurately predicting the risk of SA and guide the early prevention, diagn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5733ff710c1d99e6404fb7f3d1e5561b
https://doi.org/10.1111/cga.12466
https://doi.org/10.1111/cga.12466
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811966125
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::143874815117fd1a96af452de526e9f3
https://doi.org/10.1007/978-981-19-6613-2_198
https://doi.org/10.1007/978-981-19-6613-2_198
Publikováno v:
Applied Intelligence. 50:3125-3136
According to the problem that the multi-scale vehicle objects in traffic surveillance video are difficult to detect and the overlapping objects are prone to missed detection, an improved vehicle object detection method based on YOLOv3 was proposed. I
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::27385fe56c128d44bc638c1b68c6e553
https://doi.org/10.1007/s10489-020-01704-5
https://doi.org/10.1007/s10489-020-01704-5
Publikováno v:
IEEE Access, Vol 7, Pp 176504-176513 (2019)
Aiming at the situation that complementary ensemble empirical mode decomposition (CEEMD) noise suppression method may produce redundant noise and wavelet transform easily loses high-frequency detail information, considering wavelet packet transform c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::77163bcf0a34f4ff0f60a46159cba56c
https://ieeexplore.ieee.org/document/8924719/
https://ieeexplore.ieee.org/document/8924719/