Evolution of safety and security risk assessment methodologies towards the use of bayesian networks in process industries
PG George, VR Renjith - Process Safety and Environmental Protection, 2021 - Elsevier
Process Industries handling, producing and storing bulk amount of hazardous materials are
a major source of concern in terms of both safety and security. Safety and security cannot be …
a major source of concern in terms of both safety and security. Safety and security cannot be …
Autonomous unmanned aerial vehicles in bushfire management: Challenges and opportunities
The intensity and frequency of bushfires have increased significantly, destroying property
and living species in recent years. Presently, unmanned aerial vehicle (UAV) technology …
and living species in recent years. Presently, unmanned aerial vehicle (UAV) technology …
Modeling forest fire risk based on GIS-based analytical hierarchy process and statistical analysis in Mediterranean region
F Sivrikaya, Ö Küçük - Ecological Informatics, 2022 - Elsevier
This study proposed an integrated approach to generating a forest fire risk map. It used
geographic information system–based multiple criteria decision analysis (GIS-MCDA) with …
geographic information system–based multiple criteria decision analysis (GIS-MCDA) with …
Forest fire occurrence prediction in China based on machine learning methods
Forest fires may have devastating consequences for the environment and for human lives.
The prediction of forest fires is vital for preventing their occurrence. Currently, there are fewer …
The prediction of forest fires is vital for preventing their occurrence. Currently, there are fewer …
Performance evaluation of machine learning methods for forest fire modeling and prediction
Predicting and mapping fire susceptibility is a top research priority in fire-prone forests
worldwide. This study evaluates the abilities of the Bayes Network (BN), Naïve Bayes (NB) …
worldwide. This study evaluates the abilities of the Bayes Network (BN), Naïve Bayes (NB) …
Mapping forest fire susceptibility using spatially explicit ensemble models based on the locally weighted learning algorithm
Fire is among the most dangerous and devastating natural hazards in forest ecosystems
around the world. The development of computational ensemble models for improving the …
around the world. The development of computational ensemble models for improving the …
Bioclimatic comfort in urban planning and modeling spatial change during 2020–2100 according to climate change scenarios in Kocaeli, Türkiye
O Isinkaralar - International journal of environmental science and …, 2023 - Springer
The concentration of human activities in urban areas, increasing greenhouse gas emissions,
and high global temperature values in urban areas have accelerated the research on global …
and high global temperature values in urban areas have accelerated the research on global …
Comparison of gradient boosted decision trees and random forest for groundwater potential mapping in Dholpur (Rajasthan), India
S Sachdeva, B Kumar - Stochastic Environmental Research and Risk …, 2021 - Springer
In the drought prone district of Dholpur in Rajasthan, India, groundwater is a lifeline for its
inhabitants. With population explosion and rapid urbanization, the groundwater is being …
inhabitants. With population explosion and rapid urbanization, the groundwater is being …
Detection of forest fire using deep convolutional neural networks with transfer learning approach
Forest fires caused by natural causes such as climate change, temperature increase,
lightning strikes, volcanic activity or human effects are among the world's most dangerous …
lightning strikes, volcanic activity or human effects are among the world's most dangerous …
Vulnerability assessment in urban metro systems based on an improved cloud model and a Bayesian network
To effectively evaluate the vulnerability of urban rail transit operations, a hybrid method that
combines an improved cloud model and Bayesian network is proposed. This research …
combines an improved cloud model and Bayesian network is proposed. This research …