Zobrazeno 1 - 10
of 145
pro vyhledávání: '"Lu Leng"'
Autor:
Jianwei Peng, Wenhuang Guo, Peilun Li, Lu Leng, Dongdong Gao, Zhendong Yu, Jinglin Huang, Jinghui Guo, Shen Wang, Min Hu, Junhao Huang
Publikováno v:
BMC Infectious Diseases, Vol 24, Iss 1, Pp 1-9 (2024)
Abstract Background The COVID-19 has been shown to have negative effects on the cardiovascular system, but it is unclear how long these effects last in college students. This study aimed to assess the long-term impact of COVID-19 on arterial stiffnes
Externí odkaz:
https://doaj.org/article/695519b663994ef6aaf74db120c97ca5
Publikováno v:
Applied Sciences, Vol 14, Iss 6, p 2437 (2024)
In this study, we investigate advances in reversible data hiding (RDH), a critical area in the era of widespread digital data sharing. Recognizing the inherent vulnerabilities such as unauthorized access and data corruption during data transmission,
Externí odkaz:
https://doaj.org/article/e70dcdf076864b9b83b30b8dc6617342
Publikováno v:
Applied Sciences, Vol 14, Iss 4, p 1369 (2024)
Palmprint recognition (PPR) has recently garnered attention due to its robustness and accuracy. Many PPR methods rely on preprocessing the region of interest (ROI). However, the emergence of ROI attacks capable of generating synthetic ROI images pose
Externí odkaz:
https://doaj.org/article/d49b85376bfd4b5bac5bb0c08094dcc1
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 34, Iss 10, Pp 9419-9427 (2022)
The mainstream instance segmentation is a comprehensive computer vision task, which involves computer vision tasks such as image classification, object detection, and semantic segmentation. Aiming at the Prototype mask for initial segmentation mask w
Externí odkaz:
https://doaj.org/article/808d9a16a9434da6876f7d162848ec16
Publikováno v:
Frontiers in Human Neuroscience, Vol 17 (2023)
BackgroundWhole-body vibration (WBV) training is a novel training method that stimulates the human neuromuscular system by the use of vibration, the frequency and amplitude of which are controlled, thereby inducing adaptive changes in the body. WBV t
Externí odkaz:
https://doaj.org/article/1904a9ff83bf42168f28c3df4b53f725
Publikováno v:
Applied Sciences, Vol 13, Iss 21, p 11795 (2023)
At present, COVID-19 is posing a serious threat to global human health. The features of hand veins in infrared environments have many advantages, including non-contact acquisition, security, privacy, etc., which can remarkably reduce the risks of COV
Externí odkaz:
https://doaj.org/article/5e50991939554ff2a97091797cf5da0c
Publikováno v:
IEEE Access, Vol 10, Pp 96388-96402 (2022)
A multimodal biometric authentication framework based on Index-of-Max (IoM) hashing, Alignment-Free Hashing (AFH), and feature-level fusion is proposed in this paper. This framework enjoys three major merits: 1) Biometric templates are secured by bio
Externí odkaz:
https://doaj.org/article/25720b9992b94efebbadf1fe765ac976
Publikováno v:
Sensors, Vol 23, Iss 4, p 1984 (2023)
With the rapid advancement of deep learning theory and hardware device computing capacity, computer vision tasks, such as object detection and instance segmentation, have entered a revolutionary phase in recent years. As a result, extremely challengi
Externí odkaz:
https://doaj.org/article/0f58c3a335e740ac9ba89458205a8bd6
Publikováno v:
Applied Sciences, Vol 13, Iss 4, p 2458 (2023)
Images uploaded to the cloud may be confidential or related to personal private information, so they need to be encrypted before uploading to the cloud storage. At the service provider side, appending additional information is usually required for tr
Externí odkaz:
https://doaj.org/article/57835e0568b94ed883e104cbb2204dd2
Publikováno v:
IEEE Access, Vol 9, Pp 135816-135827 (2021)
Palmprint has attracted increasing attention due to its several advantages in the biometrics field. Deep learning has achieved remarkable performance in the computer vision area, so a large number of deep-learning-based methods have been proposed by
Externí odkaz:
https://doaj.org/article/b019b3b1a9974d3a92933992cdbe0a4d