Mass wasting susceptibility assessment of snow avalanches using machine learning models

Mechanics of snow avalanches

The main problems of mechanics of snow avalanches are those of: (1) predicting avalanches, (2) avalanche motion, (3) the action of an avalanche upon obstacles, (4) the air wave, (5) the slow moving snow cover and its interaction with protective constructions and (6) the problem of artificial release of avalanches. This paper surveys the modern state of scientific knowledge about the nature of p...

assessment of the efficiency of s.p.g.c refineries using network dea

data envelopment analysis (dea) is a powerful tool for measuring relative efficiency of organizational units referred to as decision making units (dmus). in most cases dmus have network structures with internal linking activities. traditional dea models, however, consider dmus as black boxes with no regard to their linking activities and therefore do not provide decision makers with the reasons...

Snow Avalanches, Ice Avalanches and Glacier Surges

Dust source mapping using satellite imagery and machine learning models

Predicting dust sources area and determining the affecting factors is necessary in order to prioritize management and practice deal with desertification due to wind erosion in arid areas. Therefore, this study aimed to evaluate the application of three machine learning models (including generalized linear model, artificial neural network, random forest) to predict the vulnerability of dust cent...

Machine Learning Models for Housing Prices Forecasting using Registration Data

This article has been compiled to identify the best model of housing price forecasting using machine learning methods with maximum accuracy and minimum error. Five important machine learning algorithms are used to predict housing prices, including Nearest Neighbor Regression Algorithm (KNNR), Support Vector Regression Algorithm (SVR), Random Forest Regression Algorithm (RFR), Extreme Gradient B...