Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Yibing Xiong"'
Autor:
Jingming Wang, Shixin Wang, Futao Wang, Yi Zhou, Zhenqing Wang, Jianwan Ji, Yibing Xiong, Qing Zhao
Publikováno v:
International Journal of Digital Earth, Vol 15, Iss 1, Pp 345-361 (2022)
As one of the most severe natural disasters in the world, floods caused substantial economic losses and casualties every year. Timely and accurate acquisition of flood inundation extent could provide technical support for relevant departments in the
Externí odkaz:
https://doaj.org/article/bd07fcae52d44792ab08525d2ceb481f
Autor:
Di You, Shixin Wang, Futao Wang, Yi Zhou, Zhenqing Wang, Yanchao Wang, Jingming Wang, Yibing Xiong, Jianwan Ji
Publikováno v:
Remote Sensing, Vol 15, Iss 14, p 3646 (2023)
The effective refuge area is a key indicator in the study of emergency shelters. Accurately extracting the effective refuge area and analyzing the effectiveness of emergency shelters are of great significance for site selection, spatial distribution,
Externí odkaz:
https://doaj.org/article/b4b8dd60f17746879bec606eaf511141
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 11042-11057 (2021)
Landslidesusceptibility mapping (LSM) is the primary link of geological disaster risk evaluation, which is significant for postearthquake emergency response and rebuilding after disasters. Existing LSM studies applying deep learning (DL) methods have
Externí odkaz:
https://doaj.org/article/09023736712f4ec1a7e310954a9dd38f
Autor:
Yibing Xiong, Yi Zhou, Futao Wang, Shixin Wang, Zhenqing Wang, Jianwan Ji, Jingming Wang, Weijie Zou, Di You, Gang Qin
Publikováno v:
Remote Sensing, Vol 14, Iss 12, p 2866 (2022)
Landslide susceptibility mapping (LSM) is significant for disaster prevention and mitigation, land use management, and as a reference for decision-making. Convolutional neural networks (CNNs) in deep learning have been successfully applied to LSM stu
Externí odkaz:
https://doaj.org/article/bf1126b23f8b4046aea6c2b2c1dec539
Publikováno v:
Remote Sensing, Vol 14, Iss 9, p 2207 (2022)
Quickly and accurately extracting buildings from remote sensing images is essential for urban planning, change detection, and disaster management applications. In particular, extracting buildings that cannot be sheltered in emergency shelters can hel
Externí odkaz:
https://doaj.org/article/ef92225ee49b43bcb356205a7c2d72fb
Autor:
Jianwan Ji, Zhanzhong Tang, Weiwei Zhang, Wenliang Liu, Biao Jin, Xu Xi, Futao Wang, Rui Zhang, Bing Guo, Zhiyu Xu, Eshetu Shifaw, Yibing Xiong, Jinming Wang, Saiping Xu, Zhenqing Wang
Publikováno v:
Remote Sensing, Vol 14, Iss 3, p 737 (2022)
Evaluating and exploring regional eco-environmental quality (EEQ), economic development equality (EDE) and the coupling coordination degree (CCD) at multiple scales is important for realizing regional sustainable development goals. The CCD can reflec
Externí odkaz:
https://doaj.org/article/a78a23c57e9f4bbfa42450d1a6f003c5
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 11042-11057 (2021)
Landslidesusceptibility mapping (LSM) is the primary link of geological disaster risk evaluation, which is significant for postearthquake emergency response and rebuilding after disasters. Existing LSM studies applying deep learning (DL) methods have
Publikováno v:
Complex Systems Modeling and Simulation in Economics and Finance ISBN: 9783319996226
An agent-based simulation is conducted to explore the relationship between dark pool usage and equity market volatility. We model an order-driven stock market populated by liquidity traders who have different, but fixed, degrees of dark pool usage. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ac2153f2264fef182364037dc01a32e
https://doi.org/10.1007/978-3-319-99624-0_2
https://doi.org/10.1007/978-3-319-99624-0_2
Autor:
Yibing Xiong, Chengyu Chang
Publikováno v:
Sociology Study. 6
Publikováno v:
2015 Winter Simulation Conference (WSC).