Zobrazeno 1 - 10
of 1 704
pro vyhledávání: '"Bo Du"'
Publikováno v:
Boundary Value Problems, Vol 2024, Iss 1, Pp 1-15 (2024)
Abstract In this paper, we establish the existence and stability of periodic solutions for neutral-type differential equations with piecewise impulses on time scales. We first obtain some sufficient conditions for the existence of a unique periodic s
Externí odkaz:
https://doaj.org/article/550b2915ac314f239d7cc4a532f99715
Publikováno v:
International Journal of Transportation Science and Technology, Vol 14, Iss , Pp 137-155 (2024)
The significance of intelligent transportation systems and artificial intelligence in road transportation networks has made the prediction of traffic flow a subject of discussion among transportation engineers, urban planners, and researchers in the
Externí odkaz:
https://doaj.org/article/82ee4edd7a2a4bd5b2abdaa7b1a28e4d
Autor:
Tianyang Mao, Xin Zhao, Kangyi Jiang, Jie Yang, Qingyun Xie, Jinqiang Fu, Bo Du, Zehua Lei, Fengwei Gao
Publikováno v:
BMC Public Health, Vol 24, Iss 1, Pp 1-8 (2024)
Abstract Background Acute pancreatitis (AP) is a common acute digestive system disorder, with patients often turning to TikTok for AP-related information. However, the platform’s video quality on AP has not been thoroughly investigated. Objective T
Externí odkaz:
https://doaj.org/article/6886a4bae7664e6a91862e4d086b0673
Autor:
Xiaoling Wang, He Li, Hongmei Zheng, Gongpeng Sun, Wenyu Wang, Zuohuizi Yi, A’min Xu, Lu He, Haiyan Wang, Wei Jia, Zhiqing Li, Chang Li, Mang Ye, Bo Du, Changzheng Chen
Publikováno v:
Ophthalmology and Therapy, Vol 13, Iss 5, Pp 1125-1144 (2024)
Abstract Introduction Inaccurate, untimely diagnoses of fundus diseases leads to vision-threatening complications and even blindness. We built a deep learning platform (DLP) for automatic detection of 30 fundus diseases using ultra-widefield fluoresc
Externí odkaz:
https://doaj.org/article/a000206bca434540beca9f51dac0635b
Publikováno v:
AIMS Mathematics, Vol 9, Iss 3, Pp 6321-6335 (2024)
This paper aims to study a class of enterprise cluster models with feedback controls and time-varying delays on time scales. Based on periodic time scales theory and the fixed point theorem of strict-set-contraction, some new sufficient conditions fo
Externí odkaz:
https://doaj.org/article/ca3042d67bb44c23ad860ccd0b9355e4
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 15746-15760 (2024)
The pervasive presence of mixed pixels in hyperspectral remote sensing imagery poses a substantial constraint on the quantitative progress of remote sensing technology. Hyperspectral unmixing (HU) techniques serve as effective means to address this i
Externí odkaz:
https://doaj.org/article/87c406cb9b2a43128b362679e3d5c545
Autor:
Di Wang, Jing Zhang, Minqiang Xu, Lin Liu, Dongsheng Wang, Erzhong Gao, Chengxi Han, Haonan Guo, Bo Du, Dacheng Tao, Liangpei Zhang
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 11632-11654 (2024)
Foundation models have reshaped the landscape of remote sensing (RS) by enhancing various image interpretation tasks. Pretraining is an active research topic, encompassing supervised and self-supervised learning methods to initialize model weights ef
Externí odkaz:
https://doaj.org/article/f1ebc4a04ca145599622a4482d62ea54
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 1523-1534 (2024)
Hyperspectral change detection (CD) aims to obtain the change information of objects in the multitemporal hyperspectral images (HSIs). Recently, with the advantages in fully extracting the image features of irregular areas, the graph convolutional ne
Externí odkaz:
https://doaj.org/article/d87083d30df349abb14ef5d126014b4f
Publikováno v:
Journal of Traffic and Transportation Engineering (English ed. Online), Vol 10, Iss 6, Pp 1037-1060 (2023)
As the advancement of driverless technology, together with information and communication technology moved at a fast pace, autonomous vehicles have attracted great attention from both industries and academic sectors during the past decades. It is evid
Externí odkaz:
https://doaj.org/article/05ef5ecf6b83404ba2e1eb21e999f232
Autor:
Bin Chen, Ziyi Liu, Jinjuan Lu, Zhihao Li, Kaiming Kuang, Jiancheng Yang, Zengmao Wang, Yingli Sun, Bo Du, Lin Qi, Ming Li
Publikováno v:
Respiratory Research, Vol 24, Iss 1, Pp 1-12 (2023)
Abstract Objectives Parametric response mapping (PRM) enables the evaluation of small airway disease (SAD) at the voxel level, but requires both inspiratory and expiratory chest CT scans. We hypothesize that deep learning PRM from inspiratory chest C
Externí odkaz:
https://doaj.org/article/1f96632e882e4205b781ab93b6bdc161