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Mohammad Tabasi, Ali Asghar Alesheikh, Mohsen Kalantari, Elnaz Babaie and Abolfazl Mollalo
This study is dedicated to modeling the spatial variation in COVID-19 prevalence using the adaptive neuro-fuzzy inference system (ANFIS) when dealing with nonlinear relationships, especially useful for small areas or small sample size problems. We compil...
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Hongya Qu, An Chang, Tiantian Li and Zhongguo Guan
Deriving critical parametric information from recorded signals for system identification is critical in structural health monitoring and damage detection, while the time-varying nature of most signals often requires significant processing efforts due to ...
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Jiangfan Feng and Juncai Li
Image recording is now ubiquitous in the fields of endangered-animal conservation and GIS. However, endangered animals are rarely seen, and, thus, only a few samples of images of them are available. In particular, the study of endangered-animal detection...
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Bart Vonk, Wouter Jan Klerk, Peter Fröhle, Berry Gersonius, Frank den Heijer, Philipp Jordan, Ulf Radu Ciocan, Jeroen Rijke, Paul Sayers and Richard Ashley
Uncertainties about climate change consequences, changing societal requirements and system complexity require flood protection asset managers to continuously evaluate their asset management policies and practice to manage risk and improve the resilience ...
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Zhen Li, Zijian Lin, Shilei Lyu, Zhiwei Wei and Heqing Huang
Research on tree-type irrigation pipe networks is an important component of agricultural water-saving projects. The optimal design of tree-type irrigation pipe networks is a key aspect regarding the profitability of irrigated agriculture. Meanwhile, swar...
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