Zobrazeno 11 - 20
of 499
pro vyhledávání: '"Zhang, Zhonghao"'
Autor:
Zhang Zhonghao, Valeo Caterina
Publikováno v:
National Science Open, Vol 3 (2024)
Many cities are adopting low impact development (LID) technologies (a type of nature-based solution) to sustainably manage urban stormwater in future climates. LIDs, such as bioretention cells, green roofs, and permeable pavements, are developed and
Externí odkaz:
https://doaj.org/article/cfe0979ce3a7459d8ce37fdd07ce93e0
Autor:
Zhang, Handa, Zhang, Xiang, Wan, Ting, Chen, Dong, Li, Fujie, Zhang, Zhonghao, Chen, Changshui
In this paper, we demonstrate a domain inversion crystal structure to study the cascaded three-wave mixing process in a two peak Stark-chirped rapid adiabatic passage. We have achieved efficient wavelength conversion, which can be performed in intuit
Externí odkaz:
http://arxiv.org/abs/2103.11324
Publikováno v:
陆军军医大学学报, Vol 45, Iss 9, Pp 911-919 (2023)
Objective To explore the male reproductive toxicity in rats caused by single or combined exposure to noise and carbon monoxide (CO) in closed cabin, and evaluate the joint effects and associated signal pathways. Methods Fifty male SD rats were random
Externí odkaz:
https://doaj.org/article/2ba9daf7b8a44850abb7e78dbcfac78f
Deep learning has been used to image compressive sensing (CS) for enhanced reconstruction performance. However, most existing deep learning methods train different models for different subsampling ratios, which brings additional hardware burden. In t
Externí odkaz:
http://arxiv.org/abs/2101.08024
In this paper we are concerned with the asymptotic analysis of nonbinary spatially-coupled low-density parity-check (SC-LDPC) ensembles defined over GL$\left(2^{m}\right)$ (the general linear group of degree $m$ over GF$\left(2\right)$). Our purpose
Externí odkaz:
http://arxiv.org/abs/2006.11740
Publikováno v:
IEEE Transactions on Image Processing 2021
Most compressive sensing (CS) reconstruction methods can be divided into two categories, i.e. model-based methods and classical deep network methods. By unfolding the iterative optimization algorithm for model-based methods onto networks, deep unfold
Externí odkaz:
http://arxiv.org/abs/2004.10078
Publikováno v:
In Ecological Indicators October 2023 154
Publikováno v:
In Applied Geography September 2023 158
Publikováno v:
In Environmental Impact Assessment Review September 2023 102
Autor:
Yin, Hanyu, Xiao, Rui, Fei, Xufeng, Zhang, Zhonghao, Gao, Zhi, Wan, Yi, Tan, Wenfang, Jiang, Xucheng, Cao, Wei, Guo, Yuxiang
Publikováno v:
In Sustainable Cities and Society September 2023 96