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Juan Nunez-Portillo, Alfonso Valenzuela, Antonio Franco and Damián Rivas
This paper presents an approach for integrating uncertainty information in air traffic flow management at the tactical phase. In particular, probabilistic methodologies to predict sector demand and sector congestion under adverse weather in a time horizo...
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Jianfeng Wang, Gaowei Jia, Zheng Guo and Zhongxi Hou
Heterogeneous multi-UAV systems offer distinct advantages through their complementary and coordinated use of their diverse capabilities. However, this complexity poses significant challenges in task planning, particularly in considering temporal constrai...
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Tianyu Dong, Jiazu Zhou, Junfan Zhuo, Bo Li and Feng Zhu
Conventional traffic stability studies primarily concentrate on the evolution of disturbances in vehicle motion but seldom consider how collision risk changes spatially and temporally. This study bridges the gap by extending the principles of traffic sta...
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Gergely Ámon, Katalin Bene, Richard Ray, Zoltán Gribovszki and Péter Kalicz
More frequent high-intensity, short-duration rainfall events increase the risk of flash floods on steeply sloped watersheds. Where measured data are unavailable, numerical models emerge as valuable tools for predicting flash floods. Recent applications o...
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Leonardo De Bona Becker, Maria do Carmo Reis Cavalcanti and Alfredo Affonso Monteiro Marques
Tailings dam accidents emphasize the importance of an adequate understanding of the strength parameters of tailings to improve the efficiency and effectiveness of the design, construction, and operation of such structures. Usually, the tailings strength ...
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Olegs Cernisevs, Yelena Popova and Dmitrijs Cernisevs
Risk management is a highly important issue for Fintech companies; moreover, it is very specific and puts forward the serious requirements toward the top management of any financial institution. This study was devoted to specifying the risk factors affec...
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Stéphane Crépey, Noureddine Lehdili, Nisrine Madhar and Maud Thomas
A major concern when dealing with financial time series involving a wide variety of market risk factors is the presence of anomalies. These induce a miscalibration of the models used to quantify and manage risk, resulting in potential erroneous risk meas...
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Elias Dimitriou
Natural disasters have become more frequent and intense over the last decade mainly as a result of poor water and land management. Cultural sites and monuments are extremely vulnerable to natural disasters, particularly floods, while mitigation measures ...
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Francesca Bell,Gary van Vuuren
AbstractOrientation: Environmental, social and governance (ESG) factors have evolved from peripheral significance (2000s) to a leading factor (2022) for many corporates. Most are now assigned ESG grades; which are increasingly scrutinised by investors.Re...
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Jinwan Park and Jung-Sik Jeong
According to the statistics of maritime collision accidents over the last five years (2016?2020), 95% of the total maritime collision accidents are caused by human factors. Machine learning algorithms are an emerging approach in judging the risk of colli...
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