[HTML][HTML] Measuring objective and subjective well-being: dimensions and data sources

V Voukelatou, L Gabrielli, I Miliou, S Cresci… - International Journal of …, 2021 - Springer
Well-being is an important value for people's lives, and it could be considered as an index of
societal progress. Researchers have suggested two main approaches for the overall …

[HTML][HTML] Employing machine learning and iot for earthquake early warning system in smart cities

MS Abdalzaher, HA Elsayed, MM Fouda, MM Salim - Energies, 2023 - mdpi.com
An earthquake early warning system (EEWS) should be included in smart cities to preserve
human lives by providing a reliable and efficient disaster management system. This system …

Seismic intensity estimation for earthquake early warning using optimized machine learning model

MS Abdalzaher, MS Soliman… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The need for an earthquake early-warning system (EEWS) is unavoidable to save lives. In
terms of managing earthquake disasters and achieving effective risk mitigation, the quick …

A deep learning model for earthquake parameters observation in IoT system-based earthquake early warning

MS Abdalzaher, MS Soliman… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
Earthquake early-warning system (EEWS) is inevitable for saving human lives. The fast
determination of the Earthquake's (EQ's) magnitude and its location is significant in disaster …

[HTML][HTML] Crime and its fear in social media

R Prieto Curiel, S Cresci, CI Muntean… - Palgrave …, 2020 - nature.com
Social media posts incorporate real-time information that has, elsewhere, been exploited to
predict social trends. This paper considers whether such information can be useful in …

Employing remote sensing, data communication networks, ai, and optimization methodologies in seismology

MS Abdalzaher, HA Elsayed… - IEEE Journal of Selected …, 2022 - ieeexplore.ieee.org
Seismology is among the intrinsic sciences that strictly affect human lives. Many research
efforts are presented in the literature aiming at achieving risk mitigation and disaster …

CrisMap: a big data crisis mapping system based on damage detection and geoparsing

M Avvenuti, S Cresci, F Del Vigna, T Fagni… - Information Systems …, 2018 - Springer
Natural disasters, as well as human-made disasters, can have a deep impact on wide
geographic areas, and emergency responders can benefit from the early estimation of …

Toward secured iot-based smart systems using machine learning

MS Abdalzaher, MM Fouda, HA Elsayed… - IEEE access, 2023 - ieeexplore.ieee.org
Machine learning (ML) and the internet of things (IoT) are among the most booming
research directions. Smart cities, smart campuses (SCs), smart homes, smart cars, early …

[HTML][HTML] Using remarkability to define coastal flooding thresholds

FC Moore, N Obradovich - Nature communications, 2020 - nature.com
Coastal flooding is increasingly common in many areas. However, the degree of inundation
and associated disruption depend on local topography as well as the distribution of people …

Geo-semantic-parsing: AI-powered geoparsing by traversing semantic knowledge graphs

L Nizzoli, M Avvenuti, M Tesconi, S Cresci - Decision Support Systems, 2020 - Elsevier
Online social networks convey rich information about geospatial facets of reality. However in
most cases, geographic information is not explicit and structured, thus preventing its …