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Julia Mayer, Martin Memmel, Johannes Ruf, Dhruv Patel, Lena Hoff and Sascha Henninger
Urban tree cadastres, crucial for climate adaptation and urban planning, face challenges in maintaining accuracy and completeness. A transdisciplinary approach in Kaiserslautern, Germany, complements existing incomplete tree data with additional precise ...
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Mansour Bayazidy, Mohammad Maleki, Aras Khosravi, Amir Mohammad Shadjou, Junye Wang, Rabee Rustum and Reza Morovati
River water is one of the most important natural resources for economic development and environmental sustainability. However, river water systems are vulnerable in some of the densely populated regions across the globe. Intense sand mining and waste dis...
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Lixin Wang, Wenlei Sun, Jintao Zhao, Xuedong Zhang, Cheng Lu and Hao Luo
As a critical raw material for the textile industry, cotton lint provides various types of cotton yarns, fabrics and finished products. However, due to the complexity of the supply chain and its many links, information records are often missing, inaccura...
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Menna Ibrahim Gabr, Yehia Mostafa Helmy and Doaa Saad Elzanfaly
Data completeness is one of the most common challenges that hinder the performance of data analytics platforms. Different studies have assessed the effect of missing values on different classification models based on a single evaluation metric, namely, a...
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Tahira Ullah, Sven Lautenbach, Benjamin Herfort, Marcel Reinmuth and Danijel Schorlemmer
Natural hazards threaten millions of people all over the world. To address this risk, exposure and vulnerability models with high resolution data are essential. However, in many areas of the world, exposure models are rather coarse and are aggregated ove...
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Yijun Chen, Shenxin Zhao, Lihua Zhang and Qi Zhou
Ocean Island data are essential to the conservation and management of islands and coastal ecosystems, and have also been adopted by the United Nations as a sustainable development goal (SDG 14). Currently, two categories of island datasets, i.e., global ...
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Emil Oynakov, Liliya Dimitrova, Lyubka Pashova and Dragomir Dragomirov
Although tsunamis in the Black Sea are rare and less destructive, recently, their study has been the subject of interest due to the increasing concentration of population and infrastructure in low-lying coastal areas. This study aims to elucidate the spa...
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Han Wang, Qingjie Zhou, Shuo Wei, Xiangyang Xue, Xinghua Zhou and Xiaobo Zhang
This paper proposed an MSC-Transformer model based on the Transformer?s neural network, which was applied to seabed sediment classification. The data came from about 2900 km2 of seabed area on the northern slope of the South China Sea. Using the submarin...
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Meng Li, Jiqiang Liu and Yeping Yang
With the rapid growth of customer data in financial institutions, such as trusts, issues of data quality have become increasingly prominent. The main challenge lies in constructing an effective evaluation method that ensures accurate and efficient assess...
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William Villegas-Ch and Jaime Govea
This article addresses the need for early emergency detection and safety monitoring in public spaces using deep learning techniques. The problem of discerning relevant sound events in urban environments is identified, which is essential to respond quickl...
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