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Thoralf Reis, Lukas Dumberger, Sebastian Bruchhaus, Thomas Krause, Verena Schreyer, Marco X. Bornschlegl and Matthias L. Hemmje
Manual labeling and categorization are extremely time-consuming and, thus, costly. AI and ML-supported information systems can bridge this gap and support labor-intensive digital activities. Since it requires categorization, coding-based analysis, such a...
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Giedre Beconyte, Kostas Gru?as and Eduardas Spiriajevas
In all countries, cities and their suburbs are the most densely populated areas. They are also the places visited by the largest number of tourists and one-day visitors, who inevitably run the risk of becoming victims of crime. It is, therefore, importan...
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Ziwei Huang, Shaoying Li, Yihuan Peng and Feng Gao
The development of the county economy in China is a complicated process that is influenced by many factors in different ways. This study is based on multi-source big data, such as Tencent user density (TUD) data and point of interest (POI) data, to calcu...
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Akram Seifi, Soudabeh Golestani Kermani, Amir Mosavi and Fatemeh Soroush
Quantitatively analyzing models? uncertainty is essential for agricultural models due to the effect of inputs parameters and processes on increasing models? uncertainties. The main aim of the current study was to explore the influence of input parameter ...
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Xuefeng Guan, Jingbo Li, Changlan Yang and Weiran Xing
Driving analysis of urban expansion (DAUE) is usually implemented to identify the driving factors and their corresponding driving effects/mechanisms for the expansion processes of urban land, aiming to provide scientific guidance for urban planning and m...
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