Big Data and cloud computing: innovation opportunities and challenges
Big Data has emerged in the past few years as a new paradigm providing abundant data
and opportunities to improve and/or enable research and decision-support applications with …
and opportunities to improve and/or enable research and decision-support applications with …
Cloudlet deployment in local wireless networks: Motivation, architectures, applications, and open challenges
In past few years, advancement in mobile applications and their integration with Cloud
computing services has introduced a new computing paradigm known as Mobile Cloud …
computing services has introduced a new computing paradigm known as Mobile Cloud …
Cloud Computing in natural hazard modeling systems: Current research trends and future directions
Every year, natural disasters cause major loss of human life, damage to infrastructure and
significant economic impact on the areas involved. Geospatial Scientists aim to help in …
significant economic impact on the areas involved. Geospatial Scientists aim to help in …
[HTML][HTML] The role of data and information quality during disaster response decision-making
V Jayawardene, TJ Huggins, R Prasanna… - Progress in disaster …, 2021 - Elsevier
Massive amounts of data and information are exchanged during the response phase of
disaster management. A large body of contemporary research has indicated that most of …
disaster management. A large body of contemporary research has indicated that most of …
An integrated flood management system based on linking environmental models and disaster-related data
L Qiu, Z Du, Q Zhu, Y Fan - Environmental modelling & software, 2017 - Elsevier
The flood disaster management system (FDMS) is a platform developed to provide ongoing
disaster reduction capabilities that cover the entire process of flood management. The …
disaster reduction capabilities that cover the entire process of flood management. The …
empathi: An ontology for emergency managing and planning about hazard crisis
In the domain of emergency management during hazard crises, having sufficient situational
awareness information is critical. It requires capturing and integrating information from …
awareness information is critical. It requires capturing and integrating information from …
Disaster recovery in cloud computing: A survey
抄録< jats: p> Disaster recovery is a persistent problem in IT platforms. This problem is more
crucial in cloud computing, because Cloud Service Providers (CSPs) have to provide the …
crucial in cloud computing, because Cloud Service Providers (CSPs) have to provide the …
A review on applications of big data for disaster management
The term “disaster management” comprises both natural and man-made disasters. Highly
pervaded with various types of sensors, our environment generates large amounts of data …
pervaded with various types of sensors, our environment generates large amounts of data …
The construction of personalized virtual landslide disaster environments based on knowledge graphs and deep neural networks
ABSTRACT Virtual Landslide Disaster environments are important for multilevel simulation,
analysis and decision-making about Landslide Disasters. However, in the existing related …
analysis and decision-making about Landslide Disasters. However, in the existing related …
A national scale big data analytics pipeline to assess the potential impacts of flooding on critical infrastructures and communities
With the rapid development of the Internet of Things (IoT) and Big Data infrastructure,
crowdsourcing techniques have emerged to facilitate data processing and problem solving …
crowdsourcing techniques have emerged to facilitate data processing and problem solving …