Zobrazeno 1 - 10
of 149
pro vyhledávání: '"Zhisen Wang"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract In case of mitigate the reliance of aviation users on the Global Navigation Satellite System (GNSS) in an increasingly interference-prone environment, utilizing opportunistic signals from Low-Earth Orbit (LEO) for navigation and positioning
Externí odkaz:
https://doaj.org/article/11bc26fd96b04bf08ac1e8da7b89aec3
Publikováno v:
Acta Materia Medica, Vol 3, Iss 2, Pp 163-206 (2024)
Cancer is the leading cause of morbidity and mortality worldwide and is an important barrier to lengthening life expectancy in every country. Natural products are receiving increased attention from researchers globally and increasing numbers of natur
Externí odkaz:
https://doaj.org/article/2b36c3fe64054f769aedcbb84afd1180
Publikováno v:
Defence Technology, Vol 35, Iss , Pp 259-274 (2024)
Side-scan sonar (SSS) is now a prevalent instrument for large-scale seafloor topography measurements, deployable on an autonomous underwater vehicle (AUV) to execute fully automated underwater acoustic scanning imaging along a predetermined trajector
Externí odkaz:
https://doaj.org/article/8b4de3bba8a5445f826db2487b25f2a2
Publikováno v:
Bioengineering, Vol 11, Iss 5, p 430 (2024)
Dysphagia is a pervasive health issue that impacts diverse demographic groups worldwide, particularly the elderly, stroke survivors, and those suffering from neurological disorders. This condition poses substantial health risks, including malnutritio
Externí odkaz:
https://doaj.org/article/dd7a34c080e243a6bbfc6f93fcca329b
Autor:
Yuwen Wu, Zhisen Wang, Yuyi Chu, Renyuan Peng, Haoran Peng, Hongbo Yang, Kai Guo, Juzhong Zhang
Publikováno v:
Biomimetics, Vol 9, Iss 3, p 170 (2024)
Malignant tumors have become one of the serious public health problems in human safety and health, among which the chest and abdomen diseases account for the largest proportion. Early diagnosis and treatment can effectively improve the survival rate
Externí odkaz:
https://doaj.org/article/2cbc1a9b6da44bbcb92ebf23df26986e
Publikováno v:
IEEE Access, Vol 11, Pp 132942-132954 (2023)
Forward-looking sonar (FLS) images present various challenges in interpretation, recognition, and segmentation due to limitations like low resolution, speckle noise, and low contrast, making them more complex than optical images. Existing methods oft
Externí odkaz:
https://doaj.org/article/63a52bf252b94fcc94e3ff4fc82c0320
Publikováno v:
IEEE Access, Vol 9, Pp 70300-70312 (2021)
In this paper, a new chaotic system is proposed by adding a magnetron memristor to an erbium-doped fiber laser circuit, and its dynamical characteristics are analyzed. A special periodic coexistence attractor phenomenon was discovered during the anal
Externí odkaz:
https://doaj.org/article/0f2097b0c92d4b2babf37a74803378f9
Publikováno v:
IEEE Access, Vol 9, Pp 131542-131551 (2021)
Compared with general chaotic systems, laser chaotic systems have more complex dynamic behaviors and extremely high sensitivity to parameters and initial values. So far, there are few studies on the application of laser chaotic systems to image encry
Externí odkaz:
https://doaj.org/article/8d5be7a3584a4b8383894f9ccdaaff2c
Publikováno v:
IEEE Access, Vol 8, Pp 44373-44380 (2020)
An accurate frequency estimator of complex sinusoid in additive white noise is proposed. It is based on interpolation of Fast Fourier Transform (FFT) and Discrete-Time Fourier Transform (DTFT). Zero-padding is firstly performed before the FFT of the
Externí odkaz:
https://doaj.org/article/b26f1601c63b4a3ea6129602fa0cd6d2
Autor:
Risheng Yun, Xiaolong Dong, Jianqiang Liu, Wenming Lin, Di Zhu, Jianying Ma, Shuyan Lang, Zhisen Wang
Publikováno v:
Earth and Space Science, Vol 8, Iss 11, Pp n/a-n/a (2021)
Abstract The China‐France Oceanography Satellite (CFOSAT) was successfully launched on October 29, 2018, which carries two innovative payloads, that is, the surface waves investigation and monitoring (SWIM) instrument and the rotating fan‐beam sc
Externí odkaz:
https://doaj.org/article/7b4bec31848842abb38f387443d20eb4