Zobrazeno 1 - 10
of 87
pro vyhledávání: '"Hongyi Pan"'
Autor:
Xiangyun Shi, Hao Xia, Takashi Machimura, Takanori Matsui, Chihiro Haga, Qianna Wang, Hongyi Pan, Li Peng
Publikováno v:
Global Ecology and Conservation, Vol 54, Iss , Pp e03096- (2024)
Karst landscapes, characterized by unique soluble geological features, provide essential ecosystem services (ESs). However, they are currently facing significant challenges due to rapid land use/land cover (LULC) changes. Research that combines LULC
Externí odkaz:
https://doaj.org/article/a5a01e3354f7491ebdeed9f03b52cadc
Publikováno v:
Ecological Indicators, Vol 155, Iss , Pp 111064- (2023)
Regional ecological security is a pressing issue in the context of escalating human-environment conflicts. Ecological networks(ENs), the fundamental tool for characterizing ecosystems, have enabled further quantitative analysis at the micro level by
Externí odkaz:
https://doaj.org/article/a16d2dbfd3c64338af0a6b2c8bc1885e
Publikováno v:
Sensors, Vol 24, Iss 8, p 2558 (2024)
The identification of multi-source signals with time-frequency aliasing is a complex problem in wideband signal reception. The traditional method of first separation and identification especially fails due to the significant separation error under un
Externí odkaz:
https://doaj.org/article/f4be9854493544dc804d88e58935f11f
Publikováno v:
Ecological Indicators, Vol 154, Iss , Pp 110605- (2023)
A program of ecological compensation (EC) is an effective means to solve the potential unfairness caused by the difference in environmental quality between the upper, middle, and lower reaches of river basins, alleviate the conflict of economic inter
Externí odkaz:
https://doaj.org/article/1f16c43b42de461d8e81e817f0c3cccb
Autor:
Qiaoqiao Yin, Yuecui Li, Hongyi Pan, Tianchen Hui, Zhaonan Yu, Haiyan Wu, Dehe Zhang, Wei Zheng, Shouhao Wang, Zhewen Zhou, Chengan Xu, Wenhao Wu, Yongxi Tong, Haoyi Wang, Hongying Pan
Publikováno v:
International Journal of Infectious Diseases, Vol 122, Iss , Pp 622-627 (2022)
Objectives: Here, we retrospectively described the diagnosis and treatment of 32 cases diagnosed with Chlamydia psittaci pneumonia during the COVID-19 pandemic. Methods: Clinical information was collected from all the patients. Reverse transcription
Externí odkaz:
https://doaj.org/article/0fb59e57d2584f0590f9d1c38f75b425
Autor:
Ahmed A. ELATEEQ, Ahmed M.M. GABR, Aisha M. ABDELKAWY, Nabil M. TOAIMA, Hussein A. BOSILA, Mostafa M. ZARAD, Hanan S. EBRAHIM, Jiao JIAO, Hongyi PAN, Shakir ULLAH, Yujie FU
Publikováno v:
Notulae Botanicae Horti Agrobotanici Cluj-Napoca, Vol 50, Iss 4 (2022)
Baby’s breath (Gypsophila paniculata L.) roots are valuable as pharmaceuticals due to the content of triterpenoid saponins and other bioactive phytochemicals. However, the long root harvest period and fluctuation of these constituent’s content ar
Externí odkaz:
https://doaj.org/article/3528b224ed50457093399498ec0c8877
Publikováno v:
IEEE Access, Vol 8, Pp 28033-28042 (2020)
This study proposes an objective and accurate geo-hazards risk assessment method to address the challenge of increasingly severe hazards around the world. Previous studies mostly began from the perspectives of hazard and vulnerability, ignoring the r
Externí odkaz:
https://doaj.org/article/4eace9dab0444d7aa9b84f081f35113c
Publikováno v:
Advanced Energy & Sustainability Research, Vol 2, Iss 6, Pp n/a-n/a (2021)
Lithium metal batteries (LMBs) are considered as the development direction of next‐generation rechargeable lithium batteries owing to their high energy densities. The electrochemical and safety performances of LMBs are significantly influenced by t
Externí odkaz:
https://doaj.org/article/ec94427607864841a93852f08b3c2d30
Publikováno v:
Sensors, Vol 20, Iss 10, p 2891 (2020)
In this paper, we propose a deep convolutional neural network for camera based wildfire detection. We train the neural network via transfer learning and use window based analysis strategy to increase the fire detection rate. To achieve computational
Externí odkaz:
https://doaj.org/article/33c702fdccea49ca9000aa53733b6ccd
Publikováno v:
ACM Transactions on Embedded Computing Systems. 21:1-25
Convolution has been the core operation of modern deep neural networks. It is well known that convolutions can be implemented in the Fourier Transform domain. In this article, we propose to use binary block Walsh–Hadamard transform (WHT) instead of