Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Shutian Zhou"'
Publikováno v:
Ecological Indicators, Vol 166, Iss , Pp 112322- (2024)
Flooding poses severe ecological and environmental challenges, requiring comprehensive risk assessments to inform the development of sustainable management practices. This study proposes a framework that integrates Bayesian networks (BNs) and Geograp
Externí odkaz:
https://doaj.org/article/9fdf18da38624fef81aecdf9b6bd92aa
Autor:
Ruiheng Li, Xiaotong Su, Hang Zhang, Xiyan Zhang, Yifan Yao, Shutian Zhou, Bohan Zhang, Muyang Ye, Chunli Lv
Publikováno v:
Plants, Vol 13, Iss 17, p 2435 (2024)
In this study, a deep learning method combining knowledge graph and diffusion Transformer has been proposed for cucumber disease detection. By incorporating the diffusion attention mechanism and diffusion loss function, the research aims to enhance t
Externí odkaz:
https://doaj.org/article/a64263e6608c4738971b6379f719eca3
Autor:
Shutian Zhou, Zizhe Zhou, Chenxi Wang, Yuzhe Liang, Liangyu Wang, Jiahe Zhang, Jinming Zhang, Chunli Lv
Publikováno v:
Applied Sciences, Vol 14, Iss 15, p 6824 (2024)
This paper introduces a user-centered data privacy protection framework utilizing large language models (LLMs) and user attention mechanisms, which are tailored to address urgent privacy concerns in sensitive data processing domains like financial co
Externí odkaz:
https://doaj.org/article/c8fe1a8d867c4fbeabc7805741f3b6d2
Publikováno v:
Frontiers in Marine Science, Vol 11 (2024)
Predicting fishing effort distribution is crucial for guiding fisheries management in developing effective strategies and protecting marine ecosystems. This task requires a deep understanding of how various hydrological factors, such as water tempera
Externí odkaz:
https://doaj.org/article/9ef159e99d0848468d5eee32aae249e6
Autor:
Bingyuan Han, Peiyan Duan, Chengcheng Zhou, Xiaotong Su, Ziyan Yang, Shutian Zhou, Mengxue Ji, Yucen Xie, Jianjun Chen, Chunli Lv
Publikováno v:
Plants, Vol 13, Iss 12, p 1681 (2024)
In this study, an advanced method for apricot tree disease detection is proposed that integrates deep learning technologies with various data augmentation strategies to significantly enhance the accuracy and efficiency of disease detection. A compreh
Externí odkaz:
https://doaj.org/article/8b5e4fedc1f7404a83be7417334cd577
Publikováno v:
Frontiers in Sustainable Food Systems, Vol 7 (2024)
IntroductionLand use classification plays a critical role in analyzing land use/cover change (LUCC). Remote sensing land use classification based on machine learning algorithm is one of the hot spots in current remote sensing technology research. The
Externí odkaz:
https://doaj.org/article/318eeec5698242299aae56fa7bea658d
Autor:
Shutian Zhou, Guofang Zhai
Publikováno v:
Land, Vol 12, Iss 10, p 1884 (2023)
Understanding and measuring the relative risk level of a city facing multi-hazards is fundamental to improving its disaster prevention planning and schemes. A comprehensive risk evaluation approach stands at the intersection of risk management and di
Externí odkaz:
https://doaj.org/article/4defcee58e92419294ca15573e048e17
Publikováno v:
IEEE Access, Vol 8, Pp 1010-1020 (2020)
A fast and robust star identification algorithm is proposed in this paper. The algorithm is derived from the grid algorithm but significantly improves the robustness by increasing the probability of the correct close neighbor star and reducing the pa
Externí odkaz:
https://doaj.org/article/aaf378e5b8e141eaadb9d7fa3eb59de4
Publikováno v:
Economics: Journal Articles (2017)
Externí odkaz:
https://doaj.org/article/11a86758a1334f98b33f592756fbf15b
Publikováno v:
Human and Ecological Risk Assessment: An International Journal. 27:921-937
Resilience provides an adaptive approach for dealing with environmental change, natural risks and public health emergencies. Urban spatial resilience is an interpretation of resilience in the spati...