Results 11 to 20 of about 15,658,858 (315)
A Deep Learning Model for Generalized Surface Water Flooding across Multiple Return Periods
Flood modelling is essential for addressing a range of scientific and engineering challenges. In recent years, the high computational demands of solving shallow water equations numerically have led researchers to explore machine-learning-based emulators ...
Syed Kabir, David Wood, Simon Waller
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Background. The study is relevant due to a significant number (more than 74 thousand) of autonomous heat sources (AHS) in the Russian Federation, especially in its eastern regions. Such sources use solid fuels (coal). AHS, along with other heat and power
Nina V. Zaitseva +4 more
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Risk Management of COVID-19 by Universities in China
The rapid spread of new coronaviruses throughout China and the world in 2019–2020 has had a great impact on China’s economic and social development. As the backbone of Chinese society, Chinese universities have made significant contributions to emergency
Chuanyi Wang +3 more
semanticscholar +1 more source
Risk modellers in the insurance industry use catastrophe models to estimate the distribution of possible damage from natural catastrophes. The output from catastrophe models is often adjusted to create alternative risk scenarios.
Stephen Jewson +3 more
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Internet of Things (IoT) Cybersecurity: Literature Review and IoT Cyber Risk Management
Along with the growing threat of cyberattacks, cybersecurity has become one of the most important areas of the Internet of Things (IoT). The purpose of IoT cybersecurity is to reduce cybersecurity risk for organizations and users through the protection ...
In Lee
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Background Little is known about the incidence of clinical events and treatment patterns among older adults with dementia-related psychosis. Given that dementia-related psychosis comprises various dementia types, this study describes the incidence of ...
Joan Forns +7 more
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Explainable AI in Fintech Risk Management
The paper proposes an explainable AI model that can be used in fintech risk management and, in particular, in measuring the risks that arise when credit is borrowed employing peer to peer lending platforms.
N. Bussmann +3 more
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Cost efficiency and risk as determinants of market share in banking: Evidence from the old and new eu member and candidate countries [PDF]
In this study we investigate how cost efficiency and risk affect market share in European banking industry. Our analysis is motivated by the well-known efficiency hypothesis and structure-conduct-performance theory.
Bashkim Nurboja, Marko Košak
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Livelihood diversification could be determined by complex and diversified factors. Yet, unlike the rural areas, the situation is unexplored in the case of towns of developing economies.
Tesfahun T. Admasu +2 more
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The RMS US inland flood model provides flood hazard data of up to 10×10m resolution for the Contiguous United States for different return periods. The flood maps were developed using a series of physically based models.
Jankowfsky Sonja +8 more
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