Impacts of DEM type and resolution on deep learning-based flood inundation mapping

M Fereshtehpour, M Esmaeilzadeh, RS Alipour… - Earth Science …, 2024 - Springer
The increasing availability of hydrological and physiographic spatiotemporal data has
boosted machine learning's role in rapid flood mapping. Yet, data scarcity, especially high …

[PDF][PDF] Comparative analysis on virtual private network in the internet of things gateways

MI Zakaria, MN Norizan, MM Isa… - Indones. J. Electr …, 2022 - researchgate.net
A virtual private network (VPN) connects a private network to the internet, primarily the public
network, through a secure tunnel. Using a local area network (LAN) segment, users can …

The smart city and COVID-19

W Webb - Beyond the Pandemic? Exploring the Impact of COVID …, 2023 - emerald.com
Smart cities are concepts much loved by politicians and technologists but are very difficult to
bring about in practice. There are many isolated applications in cities such as operating …

[PDF][PDF] Mitigating the impact of floods: An IoT-driven monitoring and alert system for Somalia's Rivers

AD Jimale, MO Abdullahi, YA Ahmed… - … Journal of Electrical …, 2023 - researchgate.net
Natural disasters like floods significantly threaten human lives, infrastructure, and the
environment. Millions of people are affected by floods yearly, among the most destructive …

IDISense: IoT-based dam water disaster sensing and prevention system

M Braveen, K Anusha, MA Jerlin, R Seetha… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
Rapid changes in the environment and geographical conditions can cause major disasters.
Monitoring these changes to save lives is a major challenge. In addition to monitoring, timely …

On-demand satellite payload execution strategy for natural disasters monitoring using LoRa: Observation requirements and optimum medium access layer …

L Fernandez, JA Ruiz-de-Azua, A Calveras, A Camps - Remote Sensing, 2021 - mdpi.com
Natural disasters and catastrophes are responsible for numerous casualties and important
economic losses. They can be monitored either with in-situ or spaceborne instruments …

Enhancing flood monitoring and prevention using machine learning and IoT integration

SAS Bukhari, I Shafi, J Ahmad, HT Butt, T Khurshaid… - Natural Hazards, 2024 - Springer
Floods subject human life, property, and infrastructure to the highest level of danger; hence,
proper monitoring with proper prevention action is necessary. This paper proposes a new …

A machine learning and IoT-based novel forecasting approach for flood monitoring and prevention

K Das, S Ghosh, HS Dutta - International Journal of Hybrid …, 2023 - inderscienceonline.com
The internet of things and machine learning algorithms have brought about a revolution in
the field of technology as it has treated several common problems at ease. Things have …

[PDF][PDF] Flood detection and management system

A Bhujbal, P Hole, P Khedkar, N Zaman - International Journal of …, 2022 - ijirse.com
In India, floods are the natural disasters that happen every year during the monsoon season
from July until Novemember. These flood caused serious damage to houses, roads …

A low-cost real-time monitoring system for the river level in wasit province

AK Nawar, MK Altaleb - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
The Tigris and Euphrates rivers, as well as their branches, are the lifeblood of Iraq, with most
of the country's cities and villages constructed along their banks. Water in rivers is used for …