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Barbara Cardone, Valeria D?Ambrosio, Ferdinando Di Martino and Vittorio Miraglia
One of the issues of greatest interest in urban planning today concerns the evaluation of the most vulnerable urban areas in the presence of different types of climate hazards. In this research, a hierarchical fuzzy MCDA model is implemented on a GIS-bas...
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Zhihui Tian, Ruoyi Zhang, Lili Wu, Yongji Wang, Jinjin Yang and Di Cao
Climate change, population growth, and socio-economic transformations present multifaceted challenges to the water resource systems in the four major river basins of Henan Province. Consequently, to gain a comprehensive understanding of water security wi...
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Xiaojing Hu, Chuanming Ma, Xu Guo, Yonggang Li, Hanxiang Xiong, Yang Qiu and Hao Cui
Groundwater function zoning is an important means to ensure that groundwater plays its various functions, which can provide a scientific basis for the protection and development of groundwater resources. Water resources are scarce in the Central Plains U...
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Zuoquan Nie, Qiuling Lang, Yichen Zhang, Jiquan Zhang, Yanan Chen and Zengkai Pan
Based on the data from two field surveys in 2015 and 2022, this paper calculates the weight of values using the entropy weight method and the variation coefficient method, and evaluates risk using the information quantity method. The information quantiti...
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Mengyao Zhang, Deming Yu, Tianyu Wang and Can Xu
Tunnel construction is characterized by its large scale, long periods and vulnerability to environmental impact, which pose great challenges to tunnel construction safety. In order to analyze the coupling mechanism of tunnel construction safety risks and...
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Su-Hoon Choi, So-Yeon Park, Ung Yang, Beomseon Lee, Min-Soo Kim and Sang-Hyun Lee
Typhoons, which are a common natural disaster in Korea, have seen a rapid increase in annual economic losses over the past decade. The objective of this study was to utilize historical crop insurance records to predict fruit drop rates caused by typhoons...
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Christos Bormpotsis, Mohamed Sedky and Asma Patel
In the realm of foreign exchange (Forex) market predictions, Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) have been commonly employed. However, these models often exhibit instability due to vulnerability to data perturbations...
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Zoltán Szabó and Vilmos Bilicki
Due to the proliferation of large language models (LLMs) and their widespread use in applications such as ChatGPT, there has been a significant increase in interest in AI over the past year. Multiple researchers have raised the question: how will AI be a...
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César Augusto Terán-Chaves, Julio Martín Duarte-Carvajalino, Claudia Ipaz-Cuastumal, Alexander Vega-Amante and Sonia Mercedes Polo-Murcia
Climate variability is a major threat to maize (Zea mays) crops in Colombia, posing a risk to food security and compliance with Sustainable Development Goals. Therefore, this study aimed to assess the physical vulnerability of maize crops to climate vari...
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Olga Mavrouli, Athanasia D. Skentou, Josep Maria Carbonell, Markos Z. Tsoukalas, M. Amparo Núñez-Andrés and Panagiotis G. Asteris
Although the principal aim of the rockfall management is to prevent rock boulders from reaching the buildings instead of the buildings resisting the boulder impacts, there usually exists a residual risk that has to be assessed, even when structural prote...
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