Multi-hazard disaster studies: Monitoring, detection, recovery, and management, based on emerging technologies and optimal techniques

A Khan, S Gupta, SK Gupta - International journal of disaster risk reduction, 2020 - Elsevier
Every year man-made and natural disasters impact the lives of millions of people. The
frequency of occurrence of such disasters is steadily increasing since the last 50 years, and …

[HTML][HTML] Forest 4.0: Digitalization of forest using the Internet of Things (IoT)

R Singh, A Gehlot, SV Akram, AK Thakur… - Journal of King Saud …, 2022 - Elsevier
Abstract “Digitalization of forest”, as this phrase itself suggests the sustainable
implementation of cutting-edge technologies into forests for improving the current trends that …

[PDF][PDF] Forest fire recognition based on feature extraction from multi-view images.

D Wu, C Zhang, L Ji, R Ran, H Wu, Y Xu - Traitement du Signal, 2021 - researchgate.net
Accepted: 25 April 2021 Forest fire recognition is important to the protection of forest
resources. To effectively monitor forest fires, it is necessary to deploy multiple monitors from …

[Retracted] Vision Sensor‐Based Real‐Time Fire Detection in Resource‐Constrained IoT Environments

H Yar, T Hussain, ZA Khan, D Koundal… - Computational …, 2021 - Wiley Online Library
Fire detection and management is very important to prevent social, ecological, and
economic damages. However, achieving real‐time fire detection with higher accuracy in an …

[HTML][HTML] Smart detection of fire source in tunnel based on the numerical database and artificial intelligence

X Wu, Y Park, A Li, X Huang, F Xiao, A Usmani - Fire Technology, 2021 - Springer
The fire event in a tunnel creates a rapid spread of heat and smoke flows in a long and
confined space, which not only endangers human life but also challenges the fire …

A real-time forecast of tunnel fire based on numerical database and artificial intelligence

X Wu, X Zhang, X Huang, F Xiao, A Usmani - Building Simulation, 2022 - Springer
The extreme temperature induced by fire and hot toxic smokes in tunnels threaten the
trapped personnel and firefighters. To alleviate the potential casualties, fast while …

A review to forest fires and its detection techniques using wireless sensor network

R Dogra, S Rani, B Sharma - Advances in communication and …, 2021 - Springer
Recently reported technological growth in wireless sensor network (WSN) has extended its
application in various disastrous applications. One of the most concerned issues is the forest …

Wireless sensor network for forest fire detection

N Varela, A Ospino, NAL Zelaya - Procedia Computer Science, 2020 - Elsevier
Some methods for fire detection include monitoring from watch towers and the use of
satellite images [1][2]. Unfortunately, these are not efficient due to several reasons, such as …

Rapid prediction of mine tunnel fire smoke movement with machine learning and supercomputing techniques

Y Hong, J Kang, C Fu - Fire Safety Journal, 2022 - Elsevier
A method and a thorough demonstration combining supercomputing and machine learning
(ML) were proposed to help quickly predict the spread of fire smoke in mine tunnels. 1000 …

Towards mountain fire safety using fire spread predictive analytics and mountain fire containment in iot environment

Imran, N Iqbal, S Ahmad, DH Kim - Sustainability, 2021 - mdpi.com
Mountains are popular tourist destinations due to their climate, fresh atmosphere,
breathtaking sceneries, and varied topography. However, they are at times exposed to …