A MULTI-CRITERIA DECISION INTELLIGENCE FRAMEWORK TO PREDICT FIRE DANGER RATINGS IN UNDERGROUND ENGINEERING STRUCTURES

A Multi-Criteria Decision Intelligence Framework to Predict Fire Danger Ratings in Underground Engineering Structures

A wide variety of natural catastrophes are induced by coal mining, with fire hazard being one of the most significant threats to underground engineering structures.In recent years, there has been an alarming rise in mine fire accidents due to the abundance of coal deposits around the world.Underground fires and explosions have continuously been the

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Reproducing the Gender Order in the Wake of Disasters. Revisiting a Case Study on a Mudslide Disaster in Austria

While disasters are considered a rupture of the established gender order, they rarely result in its profound change.This paper contributes to a iphone 13 price dallas proper understanding of its perpetuation.It suggests to take a disaster as a framework for action that is symbolically shaped by gender expectations.Within this framework, the gender

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Evaluation of Morphometric Differences among Indigenous Chicken Populations in Bale Zone, Oromia Regional State, Ethiopia

The study was sheepshead bay boats conducted in five selected districts in Bale zone South East, Ethiopia to evaluate the morphometric difference among indigenous chicken populations.Simple random sampling method was used to select 400 households who owned indigenous chicken population.From these households, a total of 840 adult (more than 6 months

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Earthquake prognosis using machine learning

One of the deadliest and riskiest natural disasters is an earthquake.They often occur without a warning or any further alert.Therefore there was a need for its prognosis as it is extremely important for mankind as well as here the environment.In this project, the successful application of machine learning techniques have been used for different ele

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