Zobrazeno 1 - 10
of 187
pro vyhledávání: '"Guozheng XU"'
Autor:
Zhenghao Fu, Min Liu., Shuochen Wang, Haoran Zhang, Yuanyi Sun, Yang Zhou, Xiang Li, Pingjing Ming, Jian Song, Guozheng Xu
Publikováno v:
Brain Research Bulletin, Vol 216, Iss , Pp 111053- (2024)
The present study aims to investigate the unknown relationship between inhibitory control and repetitive subconcussion induced by the indirect brain impacts. We enrolled 28 parachuters exposed to repetitive subconcussion (SC) and 27 matched health co
Externí odkaz:
https://doaj.org/article/c81ea193da2941ed89bc8e2b40abc660
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 14752-14761 (2024)
In the burgeoning remote sensing image data era, the swift and precise retrieval of images from extensive databases has emerged as a critical challenge. This need is particularly pronounced in applications, such as environmental and disaster monitori
Externí odkaz:
https://doaj.org/article/af9ab87d531149f6b0a48ca373bb8cc5
Autor:
Shukai Wu, Zhenghao Fu, Shuochen Wang, Feng Zheng, Weizhi Qiu, Guozheng Xu, Dankui Zhang, Jian Song
Publikováno v:
Journal of Integrative Neuroscience, Vol 23, Iss 5, p 102 (2024)
Background: Repetitive mild traumatic brain injury (rmTBI) often occurs in individuals engaged in contact sports, particularly boxing. This study aimed to elucidate the effects of rmTBI on phase-locking value (PLV)-based graph theory and functional n
Externí odkaz:
https://doaj.org/article/b0dbbe44394e45a98ad2abd4ab85072d
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 291-305 (2023)
The development of deep learning has significantly boosted the development of ship detection in synthetic aperture radar (SAR) images. Most previous works rely on the convolutional neural networks (CNNs), which extract characteristics through local r
Externí odkaz:
https://doaj.org/article/7cffa4959f5a466dab77678c721557e8
Autor:
Yi Wang, Wei Zhang, Guozheng Xu, Changwei Shi, Xiang Wang, Jianfeng Qu, Hongmei Wang, Chunhua Liu
Publikováno v:
Heliyon, Vol 9, Iss 7, Pp e17583- (2023)
Retinal ganglion cell (RGC) damages are common in glaucoma, causing atrophy of the optic papilla, visual field damage, and visual loss. Transient receptor potential vanilloid 4 (TRPV4) is significantly expressed in the eyeball and is sensitive to mec
Externí odkaz:
https://doaj.org/article/a6facba15a15457a8fa94b74b0c4abc8
Publikováno v:
Energy Reports, Vol 8, Iss , Pp 1482-1491 (2022)
Aiming at the uncertainty in short-term load forecasting, and considering the multi-dimensionality of load data and the continuity of time series, this paper constructs a short-term power load forecasting method based on accumulated temperature effec
Externí odkaz:
https://doaj.org/article/5eb9f077ed2a499b82efea8c82a11616
Publikováno v:
Journal of Materials Research and Technology, Vol 19, Iss , Pp 1906-1921 (2022)
In this study, HVOF spraying technology was employed to deposit the Ni–Mo alloy coating on nodular cast iron substrate. Post–spray annealing treatment was used to modify the microstructure and corrosion property of Ni–Mo coating. The microstruc
Externí odkaz:
https://doaj.org/article/078c6001b419433fb72fe184323fa522
Publikováno v:
Energy Reports, Vol 8, Iss , Pp 205-215 (2022)
Considering the non-linear, multi-dimensionality and time-series of load data, a short-term power load forecasting method based on TCN-DNN hybrid deep learning model is proposed. Firstly, considering the common influencing factors of short-term load,
Externí odkaz:
https://doaj.org/article/450c6fdd4d0f49dc91a33c709c42c59c
Publikováno v:
Remote Sensing, Vol 15, Iss 24, p 5682 (2023)
Self-supervised learning (SSL) has significantly bridged the gap between supervised and unsupervised learning in computer vision tasks and shown impressive success in the field of remote sensing (RS). However, these methods have primarily focused on
Externí odkaz:
https://doaj.org/article/682477e5f7aa4969a96ed4ce5932f66a
Publikováno v:
Brain Sciences, Vol 13, Iss 1, p 82 (2023)
Prolactinomas have been reported to impair cognition in broad aspects. However, few studies investigated the influence of prolactinomas on cognitive flexibility never mentioning the underlying neural and electrophysiological mechanism. We recorded sc
Externí odkaz:
https://doaj.org/article/2e59fe708083447cb7ae42929318c782