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Titlebook: Information Technology in Disaster Risk Reduction; 5th IFIP WG 5.15 Int Yuko Murayama,Dimiter Velev,Plamena Zlateva Conference proceedings

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楼主: ominous
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Application of Disaster Management Information for the COVID-19 Pandemic,ening situations, which demonstrate very dynamic characteristics requiring high integration among government agencies to make decisions and deliver operation. Within countries around the world, most of disaster management agencies are the primary institutions working with health agencies to cope wit
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Applying Information Technology for Cross Border Disaster Risk Reduction Through Public Private Parh public private partnership (PPP) over sustainable development goals (SDGs) at global landscape. Under the direct impact to the social-cultural, political and economic interests, we are in time for change. In the past decade, the concept of PPP has been widely applied to facilitate supply chain res
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General Knowledge Representation and Sharing for Disaster Management, “. KR and KS”. This parts then highlights the usefulness of the latter for disaster management, and provides a panorama of complementary techniques supporting it. The research question that these techniques collectively answer is: how to let Web users collaboratively build KBs (KR bases) i) that ar
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The Ianos Cyclone (September 2020, Greece) from Perspective of Utilizing Social Networks for DM,aster management of natural events. Those innovations suggest the adoption of machine learning for classifying both photos and text posted in social networks along with hybrid geo-referencing. As case study the author chose the Ianos cyclone, occurred between Italy and Greece, during September 2020.
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Cyber-Security in Digital Metering Value Chain for Mountain Landslide Warning,hain and cloud computing. The main objective of this study is to investigate how NVE can ensure cyber-security in digital meters and the cloubased metering value chain for mountain landslide warning. The study is based on a qualitative approach including methods like document analysis and semi struc
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