Zobrazeno 1 - 10
of 213
pro vyhledávání: '"ZengHui Zhang"'
Autor:
Zenghui ZHANG
Publikováno v:
Meikuang Anquan, Vol 54, Iss 12, Pp 73-79 (2023)
To analyze the distribution characteristics of regions with potential spontaneous combustion hazards in the goaf under descending ventilation in gently inclined coal seams with different spontaneous combustion tendencies, a seepage model of the incli
Externí odkaz:
https://doaj.org/article/3d8eb116e43f4653bf1f44b401ca7458
Publikováno v:
Heliyon, Vol 10, Iss 5, Pp e26775- (2024)
Existing approaches to 3D medical image segmentation can be generally categorized into convolution-based or transformer-based methods. While convolutional neural networks (CNNs) demonstrate proficiency in extracting local features, they encounter cha
Externí odkaz:
https://doaj.org/article/fe5364e038804da59046b2c3074743ff
Autor:
Zenghui Zhang, Chuanrui Zeng, Zhiteng Chen, Pinming Liu, Jingwei Gao, Qi Guo, Maoxiong Wu, Wanbing He, Qingyuan Gao, Dachuan Guo, Xiaotian Liang, Zegui Huang, Jingfeng Wang, Haifeng Zhang, Yangxin Chen
Publikováno v:
BMC Public Health, Vol 23, Iss 1, Pp 1-11 (2023)
Abstract Background Commencing work at an early age has been linked to various risk factors for coronary heart disease (CHD), such as shift work and intensive job strain. However, the relationship between starting work too early and CHD risk remains
Externí odkaz:
https://doaj.org/article/ffad6a8fd4d742eeb0a5b3bf306b66d5
Publikováno v:
Sensors, Vol 24, Iss 15, p 4803 (2024)
Robust object detection in complex environments, poor visual conditions, and open scenarios presents significant technical challenges in autonomous driving. These challenges necessitate the development of advanced fusion methods for millimeter-wave (
Externí odkaz:
https://doaj.org/article/7d18953bc00040f98f40e743c9cf0af7
Publikováno v:
Remote Sensing, Vol 16, Iss 12, p 2082 (2024)
In recent years, deep learning has found widespread application in SAR image object detection. However, when detecting multi-scale targets against complex backgrounds, these models often struggle to strike a balance between accuracy and speed. Furthe
Externí odkaz:
https://doaj.org/article/31c9f2b346c44df0b5c0efcd135f701b
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 8974-8989 (2022)
With the development of deep learning, various convolutional neural network (CNN)-based methods have been proposed for the hyperspectral image (HSI) classification. Although most of them achieve good classification performance, there are still more m
Externí odkaz:
https://doaj.org/article/1975796509da4f3daeae4ed49b20e243
Publikováno v:
PLoS ONE, Vol 18, Iss 2 (2023)
Innovation is an important driving force for high-quality regional economic development. In recent years, the Chinese government has actively explored new ways to improve regional innovation level, and the construction of smart cities is regarded as
Externí odkaz:
https://doaj.org/article/09a4e693c49d4bd28869f9c7ab5fbfeb
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 7895-7910 (2021)
In synthetic aperture radar (SAR) image classification applications, there are three categories of data, including training and benchmark data with fixed classes, as well as actual data in practical applications. A real problem comes that there exist
Externí odkaz:
https://doaj.org/article/1c3f9c7413e0411f8adea9ed6663dad9
Super-Resolution for MIMO Array SAR 3-D Imaging Based on Compressive Sensing and Deep Neural Network
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 3109-3124 (2020)
Multiple-input multiple-output (MIMO) array synthetic aperture radar (SAR) can straightly obtain the 3-D imagery of the illuminated scene with the single-pass flight. Generally, the Rayleigh resolution of the elevation direction is unacceptable due t
Externí odkaz:
https://doaj.org/article/89266fab3b844c5fbe2c9c7e7dadaf45
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 187-203 (2020)
The Sentinel-1 mission provides a freely accessible opportunity for urban image interpretation based on synthetic aperture radar (SAR) data with a specific resolution, which is of paramount importance for Earth observation. In parallel, with the rapi
Externí odkaz:
https://doaj.org/article/031dace1241e48099be5009fbe0521d4