[HTML][HTML] Managing natural disasters: An analysis of technological advancements, opportunities, and challenges

M Krichen, MS Abdalzaher, M Elwekeil… - Internet of Things and …, 2024 - Elsevier
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 …

Early detection of earthquakes using iot and cloud infrastructure: A survey

MS Abdalzaher, M Krichen, D Yiltas-Kaplan… - Sustainability, 2023 - mdpi.com
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 …

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 …

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 …

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 …

Data privacy preservation and security in smart metering systems

MS Abdalzaher, MM Fouda, MI Ibrahem - Energies, 2022 - mdpi.com
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 …

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 …

[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 …

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 …

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 …