Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Xintao Ding"'
Publikováno v:
Virtual Reality & Intelligent Hardware, Vol 5, Iss 5, Pp 422-438 (2023)
Background: With the rapid development of Web3D, virtual reality, and digital twins, virtual trajectories and decision data considerably rely on the analysis and understanding of real video data, particularly in emergency evacuation scenarios. Correc
Externí odkaz:
https://doaj.org/article/14135801f1fb4ff8a7c56ecf530bbe8f
Autor:
Bo Li, Xintao Ding, Lili Duan, Jingqi Shi, Minmin Tang, Jie Zhang, Zun Zhao, Xinyu Wu, Yongju Gao
Publikováno v:
Frontiers in Endocrinology, Vol 15 (2024)
PurposeThe purpose of this study was to assess the effectiveness of [99mTc]Tc-HYNIC-ALUG SPECT/CT in the initial staging of patients with newly diagnosed PCa.MethodsA retrospective analysis was conducted on 227 consecutive patients who underwent [99m
Externí odkaz:
https://doaj.org/article/165183a9a04e4bd88e9003b8b5033aae
Publikováno v:
Frontiers in Neuroscience, Vol 16 (2022)
Dynamic functional connectivity (dFC) networks derived from resting-state functional magnetic resonance imaging (rs-fMRI) help us understand fundamental dynamic characteristics of human brains, thereby providing an efficient solution for automated id
Externí odkaz:
https://doaj.org/article/d7409b969302478a9ff48709e61c49fc
Publikováno v:
IEEE Access, Vol 8, Pp 45292-45303 (2020)
The emergence of multi-server authentication key protocol schemes provides a viable environment for users to easily access the services of multiple legitimate servers through a single registration. Biometric identification technology has the characte
Externí odkaz:
https://doaj.org/article/ba317c504bcc46f1ac6c608fbb51bd8c
Publikováno v:
IEEE Access, Vol 7, Pp 32644-32663 (2019)
Fingerprint orientation field (FOF) estimation plays a key role in enhancing the performance of the automated fingerprint identification system (AFIS): accurate estimation of FOF can evidently improve the performance of AFIS. However, despite the eno
Externí odkaz:
https://doaj.org/article/3bd18583f7f8447499d2db017e6ad513
Publikováno v:
IEEE Access, Vol 7, Pp 35001-35011 (2019)
Feature selection has been applied to the analysis of complex structured data, such as functional connectivity networks (FCNs) constructed on resting-state functional magnetic resonance imaging (rs-fMRI), for removing redundant/noisy information. Pre
Externí odkaz:
https://doaj.org/article/fcfc8f266b9b4c10aabca939a1a5ec38
Publikováno v:
Machines, Vol 10, Iss 7, p 508 (2022)
Resource-constrained product general assembly lines with complex processes face significant challenges in delivering orders on time. Accurate and efficient resources allocation of assembly lines remain a critical factor for punctual order delivery, f
Externí odkaz:
https://doaj.org/article/a6445fc23a844376b20711227d734251
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 18 (2021)
Indoor object detection is a very demanding and important task for robot applications. Object knowledge, such as two-dimensional (2D) shape and depth information, may be helpful for detection. In this article, we focus on region-based convolutional n
Externí odkaz:
https://doaj.org/article/21ae5f12fadc4d988b67a6278829a0fb
Autor:
Xintao Ding, Yonglong Luo, Qingde Li, Yongqiang Cheng, Guorong Cai, Robert Munnoch, Dongfei Xue, Qingying Yu, Xiaoyao Zheng, Bing Wang
Publikováno v:
Systems Science & Control Engineering, Vol 6, Iss 1, Pp 249-257 (2018)
Indoor object recognition is a key task for indoor navigation by mobile robots. Although previous work has produced impressive results in recognizing known and familiar objects, the research of indoor object recognition for robot is still insufficien
Externí odkaz:
https://doaj.org/article/350e66fbdc53436e9e9ec32e68d7a3cc
Publikováno v:
IEEE Transactions on Industrial Informatics. 19:6825-6835