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[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 …
[HTML][HTML] The role of artificial intelligence and IoT in prediction of earthquakes
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 …
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 …
objects intensifies cybersecurity threats. The vast communication traffic data between …
Performance enhancement of artificial intelligence: A survey
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 …
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
Explosions and other artificial seismic sources remain a major risk to human survival.
Seismicity catalogs often suffer from contamination, which hinders the differentiation of …
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
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 …
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
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 …
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
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 …
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
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 …
monitoring system. An intelligent system has the potential to both prevent/extinguish the fire …
Ethical considerations in drone cybersecurity
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 …
aspects of our lives, has brought to the forefront a myriad of ethical considerations in the …