[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 …

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 …

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 …

Ionospheric Total Electron Content (TEC) anomalies as earthquake precursors: Unveiling the geophysical connection leading to the 2023 Moroccan 6.8 Mw …

K Nayak, C López-Urías, R Romero-Andrade… - Geosciences, 2023 - mdpi.com
The study delves into the relationship between ionospheric total electron content (TEC)
anomalies and seismic activity, with a focus on Morocco's 6.8 Mw earthquake on 8 …

A survey on key management and authentication approaches in smart metering systems

MS Abdalzaher, MM Fouda, A Emran, ZM Fadlullah… - Energies, 2023 - mdpi.com
The implementation of the smart grid (SG) and cyber-physical systems (CPS) greatly
enhances the safety, reliability, and efficiency of energy production and distribution. Smart …

Performance enhancement of artificial intelligence: A survey

M Krichen, MS Abdalzaher - Journal of Network and Computer Applications, 2024 - Elsevier
The advent of machine learning (ML) and Artificial intelligence (AI) has brought about a
significant transformation across multiple industries, as it has facilitated the automation of …

[HTML][HTML] Enhancing earthquakes and quarry blasts discrimination using machine learning based on three seismic parameters

MS Abdalzaher, M Krichen, MM Fouda - Ain Shams Engineering Journal, 2024 - Elsevier
Explosions and other artificial seismic sources remain a major risk to human survival.
Seismicity catalogs often suffer from contamination, which hinders the differentiation of …

[HTML][HTML] Investigation of lineament extraction: Analysis and comparison of digital elevation models in the Ait Semgane region, Morocco

MA EL-Omairi, A El Garouani, A Shebl - Remote Sensing Applications …, 2024 - Elsevier
An automated lineament extraction model was successfully applied in the mountainous
region of Ait Semgane, Morocco, enabling the identification of geological and tectonic linear …

[HTML][HTML] Leveraging internet of things and emerging technologies for earthquake disaster management: Challenges and future directions

MS Abdalzaher, M Krichen, F Falcone - Progress in Disaster Science, 2024 - Elsevier
Seismology is among the ancient sciences that concentrate on earthquake disaster
management (EQDM), which directly impact human life and infrastructure resilience. Such a …