[HTML][HTML] Managing natural disasters: An analysis of technological advancements, opportunities, and challenges
Natural disasters (NDs) have always been a major threat to human lives and infrastructure,
causing immense damage and loss. In recent years, the increasing frequency and severity …
causing immense damage and loss. In recent years, the increasing frequency and severity …
Early detection of earthquakes using iot and cloud infrastructure: A survey
Earthquake early warning systems (EEWS) are crucial for saving lives in earthquake-prone
areas. In this study, we explore the potential of IoT and cloud infrastructure in realizing a …
areas. In this study, we explore the potential of IoT and cloud infrastructure in realizing a …
Strengthening the security of smart contracts through the power of artificial intelligence
M Krichen - Computers, 2023 - mdpi.com
Smart contracts (SCs) are digital agreements that execute themselves and are stored on a
blockchain. Despite the fact that they offer numerous advantages, such as automation and …
blockchain. Despite the fact that they offer numerous advantages, such as automation and …
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 …
terms of managing earthquake disasters and achieving effective risk mitigation, the quick …
Employing machine learning and iot for earthquake early warning system in smart cities
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 …
human lives by providing a reliable and efficient disaster management system. This system …
Data privacy preservation and security in smart metering systems
Smart meters (SMs) can play a key role in monitoring vital aspects of different applications
such as smart grids (SG), alternative currents (AC) optimal power flows, adversarial training …
such as smart grids (SG), alternative currents (AC) optimal power flows, adversarial training …
An optimized learning model augment analyst decisions for seismic source discrimination
MS Abdalzaher, SSR Moustafa… - … on Geoscience and …, 2022 - ieeexplore.ieee.org
Efficient handling and planning for the urban regions' sustainable development require a
vast range of up-to-date and thematic information. Besides, obtaining an uncontaminated …
vast range of up-to-date and thematic information. Besides, obtaining an uncontaminated …
[HTML][HTML] Seismo-lineaments in Egypt: analysis and implications for active tectonic structures and earthquake magnitudes
SSR Moustafa, MS Abdalzaher, HE Abdelhafiez - Remote Sensing, 2022 - mdpi.com
Quiescent faults may be capable of creating catastrophic earthquakes in locations with
moderate and/or low seismic activity, such as Egypt. This study combines structural, remote …
moderate and/or low seismic activity, such as Egypt. This study combines structural, remote …
Machine learning regression implementation for high-frequency seismic wave attenuation estimation in the Aswan Reservoir area, Egypt
SSR Moustafa, GEA Mohamed, MS Elhadidy… - Environmental Earth …, 2023 - Springer
Attenuation characteristics have been estimated to understand the effect of the
heterogeneity in the tectonically active Aswan Reservoir, the southern part of Egypt using …
heterogeneity in the tectonically active Aswan Reservoir, the southern part of Egypt using …
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 …
efforts are presented in the literature aiming at achieving risk mitigation and disaster …