How to improve fault tolerance in disaster predictions: a case study about flash floods using IoT, ML and real data

G Furquim, GPR Filho, R Jalali, G Pessin, RW Pazzi… - Sensors, 2018 - mdpi.com
The rise in the number and intensity of natural disasters is a serious problem that affects the
whole world. The consequences of these disasters are significantly worse when they occur …

A smart framework for managing natural disasters based on the iot and ml

FH Aljohani, AA Abi Sen, MS Ramazan, B Alzahrani… - Applied Sciences, 2023 - mdpi.com
Natural disasters greatly threaten our lives in addition to adversely affecting all activities.
Unfortunately, most solutions currently used in flood management are suffering from many …

Investigation of flash floods on early basis: A factual comprehensive review

TA Khan, MM Alam, Z Shahid, MM Su'Ud - IEEE Access, 2020 - ieeexplore.ieee.org
Ultimate extreme flash floods can be acknowledged as a main reason of high casualties and
infrastructure loss in many countries like Pakistan, Malaysia, Philippines, Southern France …

Intelligent flood disaster warning on the fly: developing IoT-based management platform and using 2-class neural network to predict flood status

SI Abdullahi, MH Habaebi, N Abd Malik - Bulletin of Electrical Engineering …, 2019 - beei.org
The number of natural disasters occurring yearly is increasing at an alarming rate which has
caused a great concern over the well-being of human lives and economy sustenance. The …

[PDF][PDF] Flood prediction and disaster risk analysis using GIS based wireless sensor networks, a review

N Ahmad, M Hussain, N Riaz, F Subhani… - Journal of Basic and …, 2013 - researchgate.net
This paper presents a comprehensive study of the flood analysis and prediction using
Geographical Information system (GIS). Different scientists and researchers from all over the …

Wireless sensor network for AI-based flood disaster detection

J Al Qundus, K Dabbour, S Gupta, R Meissonier… - Annals of Operations …, 2022 - Springer
In recent decades, floods have led to massive destruction of human life and material. Time is
of the essence for evacuation, which in turn is determined by early warning systems. This …

Detection of flood disaster system based on IoT, big data and convolutional deep neural network

M Anbarasan, BA Muthu, CB Sivaparthipan… - Computer …, 2020 - Elsevier
Natural disasters could be defined as a blend of natural risks and vulnerabilities. Each year,
natural as well as human-instigated disasters, bring about infrastructural damages …

Extraction of sift features for identifying disaster hit areas using machine learning techniques

VS Kumar, A Alemran, SK Gupta… - 2022 International …, 2022 - ieeexplore.ieee.org
Beyond the death toll, disasters have major and often devastating social and economic
ramifications, including financial damage and loss. As a result of recent advances in artificial …

FLOODWALL: a real-time flash flood monitoring and forecasting system using IoT

C Prakash, A Barthwal, D Acharya - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
In recent years, flooding has become a major problem, encountered in many places all over
the world, causing damage to property ranging from human life to economic losses. Floods …

A Novel Approach for a Smart Early Flood Detection and Awareness System using IoT

L Saravanan, W Nancy, KP Chandran… - … on Smart Structures …, 2022 - ieeexplore.ieee.org
Floods can cause extensive demolition, resulting in loss of human and animal's life and
damages to railway tracks, road transport, personal property and critical open health …