[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 …

[HTML][HTML] The role of artificial intelligence and IoT in prediction of earthquakes

J Pwavodi, AU Ibrahim, PC Pwavodi… - Artificial Intelligence in …, 2024 - Elsevier
Earthquakes are classified as one of the most devastating natural disasters that can have
catastrophic effects on the environment, lives, and properties. Most recent devastating …

[HTML][HTML] A deep learning methodology for predicting cybersecurity attacks on the internet of things

OA Alkhudaydi, M Krichen, AD Alghamdi - Information, 2023 - mdpi.com
With the increasing severity and frequency of cyberattacks, the rapid expansion of smart
objects intensifies cybersecurity threats. The vast communication traffic data between …

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 …

Employing machine learning for seismic intensity estimation using a single station for earthquake early warning

MS Abdalzaher, MS Soliman, M Krichen, MA Alamro… - Remote Sensing, 2024 - mdpi.com
An earthquake early-warning system (EEWS) is an indispensable tool for mitigating loss of
life caused by earthquakes. The ability to rapidly assess the severity of an earthquake is …

[HTML][HTML] Internet of things (IoT) driven structural health monitoring for enhanced seismic resilience: A rigorous functional analysis and implementation framework

A Alsehaimi, M Houda, A Waqar, S Hayat, FA Waris… - Results in …, 2024 - Elsevier
Civil engineering infrastructures are increasingly becoming exposed to seismic loads, and at
such a stage there is an increased need for alternative methods to fortify and enhance the …

Development of smoothed seismicity models for seismic hazard assessment in the Red Sea region

MS Abdalzaher, SSR Moustafa, M Yassien - Natural Hazards, 2024 - Springer
Abstract The Red Sea region, situated between the Arabian and African Plates, experiences
significant seismic activity due to its tectonic dynamics, with earthquakes ranging from minor …

A deep reinforcement learning algorithm for trajectory planning of swarm UAV fulfilling wildfire reconnaissance

K Demir, V Tumen, S Kosunalp, T Iliev - Electronics, 2024 - mdpi.com
Wildfires have long been one of the critical environmental disasters that require a careful
monitoring system. An intelligent system has the potential to both prevent/extinguish the fire …

Ethical considerations in drone cybersecurity

SR Sindiramutty, CE Tan, B Shah, NA Khan… - … Issues and Challenges …, 2024 - igi-global.com
The rapid proliferation of drones, coupled with their increasing integration into various
aspects of our lives, has brought to the forefront a myriad of ethical considerations in the …