Results 11 to 20 of about 15,658,858 (315)

A Deep Learning Model for Generalized Surface Water Flooding across Multiple Return Periods

open access: yesEngineering Proceedings, 2023
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
doaj   +1 more source

HYGIENIC ASSESSMENT OF THE IMPACT OF OFF-GRID HEAT SOURCES ON AMBIENT AIR QUALITY AND THE FORMATION OF PUBLIC HEALTH RISKS

open access: yesSiberian Journal of Life Sciences and Agriculture, 2023
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
doaj   +1 more source

Risk Management of COVID-19 by Universities in China

open access: yesJournal of Risk and Financial Management, 2020
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

Adjusting catastrophe model ensembles using importance sampling, with application to damage estimation for varying levels of hurricane activity

open access: yesMeteorological Applications, 2020
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
doaj   +1 more source

Internet of Things (IoT) Cybersecurity: Literature Review and IoT Cyber Risk Management

open access: yesFuture Internet, 2020
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
semanticscholar   +1 more source

Clinical outcomes and treatment patterns of older adults with dementia-related psychosis by dementia type in the United States

open access: yesBMC Geriatrics, 2022
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
doaj   +1 more source

Explainable AI in Fintech Risk Management

open access: yesFrontiers in Artificial Intelligence, 2020
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
semanticscholar   +1 more source

Cost efficiency and risk as determinants of market share in banking: Evidence from the old and new eu member and candidate countries [PDF]

open access: yesZbornik radova Ekonomskog fakulteta u Rijeci : časopis za ekonomsku teoriju i praksu, 2019
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
doaj   +1 more source

Determinants of Livelihood Diversification among Households in the Sub-Saharan Town of Merawi, Ethiopia

open access: yesAdvances in Agriculture, 2022
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
doaj   +1 more source

The RMS US inland flood model

open access: yesE3S Web of Conferences, 2016
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
doaj   +1 more source

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