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Akademický článek

Fast and flexible stack‐based inverse tone mapping

Autor: Ning Zhang, Yuyao Ye, Yang Zhao, Xufeng Li, Ronggang Wang

Publikováno v: CAAI Transactions on Intelligence Technology, Vol 8, Iss 4, Pp 1444-1454 (2023)

Abstract Inverse tone mapping technique is widely used to restore the lost textures from a single low dynamic range image. Recently, many stack‐based deep inverse tone mapping networks have achieved impressive results by estimating a set of multi�

Externí odkaz: https://doaj.org/article/eb8acf66f8314a6cab1897c19761173a

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Akademický článek

Spatial-temporally and industrially heterogeneous effects of new infrastructure construction on fostering emerging industries in Chinese cities

Autor: Jili Xu, Guan Huang, Yuyao Ye, Zhengqian Liu

Publikováno v: Heliyon, Vol 10, Iss 1, Pp e23774- (2024)

New infrastructure construction stemming from the new waves of technological revolution worldwide is exemplified by 5G base stations, big data centers, and ultra-high voltage. It has aroused extensive academic and policy interests in recent years, es

Externí odkaz: https://doaj.org/article/24afa79cb2d9483eb5a1637bedbb216c

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Akademický článek

Exploring the Applicability of Self-Organizing Maps for Ecosystem Service Zoning of the Guangdong-Hong Kong-Macao Greater Bay Area

Autor: Yingwei Yan, Yingbin Deng, Ji Yang, Yong Li, Xinyue Ye, Jianhui Xu, Yuyao Ye

Publikováno v: ISPRS International Journal of Geo-Information, Vol 11, Iss 9, p 481 (2022)

Sustainability is one of the major challenges in the 21st century for humanity. Spatial zoning of ecosystem services is proposed in this study as a solution to meet the demands for the sustainable use of ecosystem services. This study presented a wor

Externí odkaz: https://doaj.org/article/3689f5c3c40e4d99b5e15439c2217bdd

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Akademický článek

Features and drivers for energy-related carbon emissions in mega city: The case of Guangzhou, China based on an extended LMDI model.

Autor: Changjian Wang, Kangmin Wu, Xinlin Zhang, Fei Wang, Hongou Zhang, Yuyao Ye, Qitao Wu, Gengzhi Huang, Yang Wang, Bin Wen

Publikováno v: PLoS ONE, Vol 14, Iss 2, p e0210430 (2019)

Based on the apparent energy consumption data, a systematic and comprehensive city-level total carbon accounting approach was established and applied in Guangzhou, China. A newly extended LMDI method based on the Kaya identity was adopted to examine

Externí odkaz: https://doaj.org/article/6c193e253106417d92eeeaa0ab74fe5b

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Akademický článek

Retrospect driving forces and forecasting reduction potentials of energy-related industrial carbon emissions from China’s manufacturing at city level

Autor: Yongxian Su, Yilong Wang, Bo Zheng, Philippe Ciais, Jianping Wu, Xiuzhi Chen, Yang Wang, Changjian Wang, Yuyao Ye, Qian Li, Chaoqun Zhang, Hongou Zhang, Guangqing Huang, Ningsheng Huang, Raffaele Lafortezza

Publikováno v: Environmental Research Letters, Vol 15, Iss 7, p 074020 (2020)

Lack of either spatial or temporal coverage in city-level carbon emissions analysis might curb our understanding of historical drivers and make future forecasting uncertain. To fill these gaps, we analyzed time-series energy-related industrial carbon

Externí odkaz: https://doaj.org/article/3b6366608cf64ef78f5a866c2ec9d810

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