Results 11 to 20 of about 2,757,418 (333)
Cross-domain entity identity association analysis and prediction based on representation learning
International Journal of Distributed Sensor Networks, 2022 Cross-domain identity association of network entities is a significant research challenge and a vital issue of practical value in relationship discovery and service recommendation between things in the Internet of things, cyberspace resources surveying ...
Mingcheng Gao +4 more
doaj +1 more source
CDSTAEP: Cross-Domain Spatial-Temporal Association Learning for Abnormal Events Prediction
Applied Sciences, 2023 Predicting network abnormal events and behavior can enhance security situation awareness and the ability to infer attack intentions. Most of the existing abnormal event prediction methods usually rely on the temporal relationship features between events ...
Mingcheng Gao +3 more
doaj +1 more source
Earth, Planets and Space, 2021 Two-thirds of the 111 active volcanoes in Japan are covered with snow for several months during winter and demonstrate high hazard and risk potentials associated with snow-related lahars during and after eruptions.
Kyoko S. Kataoka +4 more
doaj +1 more source
Opportunistic disaster recovery [PDF]
Internet Technology Letters, 2018 Disaster scenarios require different recovery solutions such as evacuation guidance, to perform the right action for wounded persons and efficiency diffuse useful alert for locating trapped survivors. These latter are constrained mainly by the infrastructure‐less environment caused by the disaster damage (e.g. storm, earthquake).
Mezghani, Farouk, Mitton, Nathalie
openaire +1 more source
Agent-based modelling of post-disaster recovery with remote sensing data
, 2021 Disaster risk management, and post-disaster recovery (PDR) in particular, become increasingly important to assure resilient development. Yet, PDR is the most poorly understood phase of the disaster management cycle and can take years or even decades. The
S. Ghaffarian +3 more
semanticscholar +1 more source
Assessing post-disaster recovery using sentiment analysis: The case of L’Aquila, Italy
Earthquake spectra, 2021 Memorial days of disasters represent an opportunity to evaluate the progress of recovery. This article uses sentiment analysis (SA) to assess post-disaster recovery on the 10th anniversary of L’Aquila’s earthquake using Twitter data.
D. Contreras +3 more
semanticscholar +1 more source
, 2021 Understanding the process of community recovery impacted by various post-disaster decisions such as dynamic policies can effectively guide the recovery process and expedite recovery, thereby establishing a more resilient community.
W. Wang, J. W. van de Lindt
semanticscholar +1 more source
GLPS: A Geohash-Based Location Privacy Protection Scheme
Entropy, 2023 With the development of mobile applications, location-based services (LBSs) have been incorporated into people’s daily lives and created huge commercial revenues.
Bin Liu +3 more
doaj +1 more source
Archivalia, 2010 Immediately following a disaster-producing event, attention appropriately is focused on relief efforts to save lives, manage the acute needs of the victims, and prevent further injury and damage. This phase of a disaster may be short-lived, or may be prolonged, depending on the type and severity of the ensuing damage.
Gerard J. FitzGerald +3 more
+6 more sources
User Identity Linkage Across Social Networks by Heterogeneous Graph Attention Network Modeling
Applied Sciences, 2020 Today, social networks are becoming increasingly popular and indispensable, where users usually have multiple accounts. It is of considerable significance to conduct user identity linkage across social networks.
Ruiheng Wang +5 more
doaj +1 more source