Zobrazeno 1 - 10
of 79
pro vyhledávání: '"Junjuan Zhao"'
Publikováno v:
Frontiers in Surgery, Vol 11 (2024)
IntroductionThe utilization of artificial intelligence (AI) augments intraoperative safety and surgical training. The recognition of parathyroid glands (PGs) is difficult for inexperienced surgeons. The aim of this study was to find out whether deep
Externí odkaz:
https://doaj.org/article/154297a49b104423bfb4c43d054fc057
Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2021, Iss 1, Pp 1-19 (2021)
Abstract As a comprehensive utilization of pipeline resources, communication intelligent manhole cover (CIMC) can effectively real-time monitor communication manhole cover and protect the safety of communication pipeline. Due to the complex working e
Externí odkaz:
https://doaj.org/article/4551e1079c9547afa309ade862ee53e2
Publikováno v:
Applied Sciences, Vol 13, Iss 2, p 878 (2023)
A conventional dynamic vibration absorber based on resonance effect can hardly satisfy the requirement for low-frequency and broadband vibration control in actual engineering. Combined with passive and nonlinear vibration absorption strategy, this st
Externí odkaz:
https://doaj.org/article/6f109ab74fe0404e8faa03750fef5158
Publikováno v:
EURASIP Journal on Image and Video Processing, Vol 2019, Iss 1, Pp 1-11 (2019)
Abstract Aiming at the sensitivity of fuzzy C-means (FCM) method to the initial clustering center and noise data, and the single feature being not able to segment the image effectively, this paper proposes a new image segmentation method based on fuz
Externí odkaz:
https://doaj.org/article/3161e2ce938241a6a1cbdd4c54d4ab11
Publikováno v:
IEEE Access, Vol 7, Pp 164507-164516 (2019)
The efficient classification of remote sensing images (RSIs) has become the key of remote sensing application. To tackle the high computational cost in the traditional classification method, in this paper we propose a new RSI classification method ba
Externí odkaz:
https://doaj.org/article/f114294c3c2746e995d5cfe8bb83ff2e
Autor:
Qingjie Zhang, Junjuan Zhao, Xiangmeng Long, Quanyong Luo, Ren Wang, Xuehai Ding, Chentian Shen
Publikováno v:
Diagnostics, Vol 12, Iss 2, p 253 (2022)
Problem: Ultrasonography is recommended as the first choice for evaluation of thyroid nodules, however, conventional ultrasound features may not be able to adequately predict malignancy. Ultrasound elastography, adjunct to conventional B-mode ultraso
Externí odkaz:
https://doaj.org/article/d5b0b24347fd4b348139fe6c2cc41041
Publikováno v:
INTER-NOISE and NOISE-CON Congress and Conference Proceedings. 265:95-99
This paper presents a membrane sound absorber (MSA) with tunable properties for low-frequency sound absorption. A simple method to predict the resonance frequency is proposed; the resonate frequencies predicted show good agreements with the experimen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::93952d82de1d67a7c87cd159880b0a1e
https://doi.org/10.3397/in_2022_0021
https://doi.org/10.3397/in_2022_0021
Publikováno v:
INTER-NOISE and NOISE-CON Congress and Conference Proceedings. 265:183-188
In the paper, the negative stiffness membrane absorber with magnet has been taken as a nonlinear noise absorber. The dynamic characteristics of the nonlinear noise absorber have been studied by nonlinear dynamics theory and numerical simulation. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d24bbd4ff70eb035c4ebe938ca3e609a
https://doi.org/10.3397/in_2022_0031
https://doi.org/10.3397/in_2022_0031
Low frequency sound insulation of membrane-type acoustic metamaterials with negative pressure cavity
Publikováno v:
INTER-NOISE and NOISE-CON Congress and Conference Proceedings. 265:625-629
The membrane-type acoustic metamaterial with negative pressure cavity (MAM-NPC) is designed to achieve low frequency sound insulation and tunable frequency on the duct side wall. A one-dimensional analytical method was used to discuss the sound insul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fda309de053f73d532fe2d4afd49f3ae
https://doi.org/10.3397/in_2022_0084
https://doi.org/10.3397/in_2022_0084
Publikováno v:
Computer Modeling in Engineering & Sciences. 131:429-444
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::91c037cf589b62b22705a32b39fe4fdd
https://doi.org/10.32604/cmes.2022.019202
https://doi.org/10.32604/cmes.2022.019202