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Yanli Li, Qingjie Li, Zhengyu Ji, Okbagaber Andom, Xiaoxing Wang, Xueqi Guo and Zhaojun Li
The use of antibiotics in the livestock and poultry industries has raised significant concern about environmental and health problems. In light of this, accurate knowledge of antibiotic residues in livestock and poultry manure is important for pollution ...
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Chunling Zhang, Danyang Wang, Zenghong Liu, Shaolei Lu, Chaohui Sun, Yongliang Wei and Mingxing Zhang
The international Argo Program was launched at the turn of the millennium. It has since collected over 2 million vertical profiles of temperature and salinity from the upper 2000 m of the global ocean. Gridded interpolation is a technology that gives ful...
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Zhihuan Wang, Chenguang Meng, Mengyuan Yao and Christophe Claramunt
Maritime ports are critical logistics hubs that play an important role when preventing the transmission of COVID-19-imported infections from incoming international-going ships. This study introduces a data-driven method to dynamically model infection ris...
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Bui Thi Bich Lien, Nguyen Thi Thanh Ngan, Pankaj Kumar, Trinh Trung Tri Dang, Tran Thi Kim Hong, Tran Van Ty, Ram Avtar and Huynh Vuong Thu Minh
Protected places such as nature reserves (NRs) are used to maintain ecological balance, biodiversity, and support surrounding ecosystems. However, the development and operation of infrastructure such as dikes and sluice gates in NRs, as seen in the Vietn...
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Clemens Havas, Lorenz Wendlinger, Julian Stier, Sahib Julka, Veronika Krieger, Cornelia Ferner, Andreas Petutschnig, Michael Granitzer, Stefan Wegenkittl and Bernd Resch
In 2015, within the timespan of only a few months, more than a million people made their way from Turkey to Central Europe in the wake of the Syrian civil war. At the time, public authorities and relief organisations struggled with the admission, transfe...
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Jing Cui, Yanrong Liu, Junling Sun, Di Hu and Handong He
Based on the significant hotspots analysis method (Getis-Ord Gi* significance statistics), space-time cube model (STC) and the Mann?Kendall trend test method, this paper proposes a G-STC-M spatio-temporal analysis method based on Archaeological Sites. Th...
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Hartmut Müller and Marije Louwsma
The Covid-19 pandemic put a heavy burden on member states in the European Union. To govern the pandemic, having access to reliable geo-information is key for monitoring the spatial distribution of the outbreak over time. This study aims to analyze the ro...
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Yue Han, Lin Liu, Qiaoli Sui and Jiaxing Zhou
There are many factors affecting poverty, among which education is an important one. Firstly, from the perspective of digital statistics, this research quantitatively analyzes the correlation between average education years (AEY) and Gross Domestic Produ...
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Matteo Sangiorgio and Stefano Barindelli
Intense convective storms usually produce large rainfall volumes in short time periods, increasing the risk of floods and causing damages to population, buildings, and infrastructures. In this paper, we propose a framework to couple visual and statistica...
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Ammar Mohsin Butt, Muhammad Haroon Yousaf, Fiza Murtaza, Saima Nazir, Serestina Viriri and Sergio A. Velastin
Human action recognition has gathered significant attention in recent years due to its high demand in various application domains. In this work, we propose a novel codebook generation and hybrid encoding scheme for classification of action videos. The pr...
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