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Application of classification coupled with PCA and SMOTE, for obtaining safety factor of landslide based on HRA
Machine learning algorithms have been recently applied to build a landslide susceptibility map. The objective of this study is to find whether...
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Enhanced streamflow prediction using SWAT’s influential parameters: a comparative analysis of PCA-MLR and XGBoost models
Accurate streamflow estimation and assessing the significant parameters are crucial for effective water resource management. In this research, the...
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PCA-VGG16 model for classification of rock types
Conventional convolutional neural networks (CNN) are deficient in the rock type recognition due to large convolutional kernels and numerous network...
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Geochemical trends in sedimentary environments using PCA approach
Investigating the geochemical composition of bulk sediments stands as a crucial method for unraveling the complexities of various sedimentary...
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Performance Study of Hard Rock Cantilever Roadheader Based on PCA and DBN
With the wide application of cantilever roadheader in urban subway tunnel construction, accurate prediction of excavation performance of cantilever...
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Automatic lithology modelling of coal beds using the joint interpretation of principal component analysis (PCA) and continuous wavelet transform (CWT)
Identification of thin interbedded non-coal bands and coal seams with varying carbon contents within a coal seam is of paramount interest in coal...
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Application of Principal Component Analysis (PCA) to the Evaluation and Screening of Multiactivity Fungi
Continued innovation in screening methodologies remains important for the discovery of high-quality multiactive fungi, which have been of great...
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Implementation of PCA multicollinearity method to landslide susceptibility assessment: the study case of Kabylia region
Landslides are one of the most catastrophic geo-risks observed in northern Algeria, particularly in the regions of mountain ranges (Mediterranean...
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Physical-Chemical Water Quality Study of the Sava River in Serbia Using the Statistical and Factor Analysis
AbstractBased on selected parameters, this paper aims to assess the physical-chemical water quality (PCWQ) of the Sava River in a part of the...
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Optimization of significant morphometric parameters and sub-watershed prioritization using PCA and PCA-WSM for soil conservation: a case study in Dharla River watershed, Bangladesh
Proper knowledge of watershed geometry and the geomorphic condition is a prerequisite before develo** and implementing any watershed management...
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Optimization of humic acid adsorption using central composite design (CCD) and principal component analysis (PCA): kinetics, isotherm, and thermodynamics studies
The adsorption of humic acid (HA) onto granular-activated carbon (GAC) was studied. The effect of four experimental parameters (GAC dose, pH, ionic...
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Estimating Soil Heat Flux in Jordan Based on ERA5 Parameters and NCEP/NCAR Energy Outputs: Definite Radiative Forcing of Climate Change Using PCA
Internal variability changes in soil surface temperature and reflective radiation drove climate to change and vice versa over all time scales. This...
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Assessment of hydrogeochemical characteristics of groundwater: link of AHP and PCA methods using a GIS approach in a semi-arid region, Central Tunisia
In semi-arid climate conditions (such as Central Tunisia), a crucial resource for satisfying the needs of socioeconomic development is groundwater....
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Factor Analysis
This chapter describes a model-based method that attempts to explain the variability and correlation structure in the data, and reducing its...
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Prioritization of Sub-watersheds for the Categorization of Surface Runoff and Sediment Production Rate Based on Geo-spatial Modeling and PCA Approach: A Case from Upper Beas River, Himachal Pradesh, India
Studying geo-morphometric parameters using Remote Sensing (RS) and Geographic Information System (GIS) tools is crucial to routing runoff and...
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PLEASANT: Planetary Science Image Enhancement Technique Using PCA Matched Enhanced Colour Space Transformation and Adaptive Gamma Correction
Planetary science images are leveraged to advance our knowledge of the planets and other celestial bodies in the solar system. However, these images...
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Durability assessment of some Cappadocian tuffs using factor analysis, multiple regression analysis, and analytical hierarchy process
Tuff located in Central Anatolia (Cappadocia) has been used as a building stone in many historical monuments, churches, and mosques. Although some of...
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Prediction of Slope Failure Susceptibility of an Iron Ore Mine Using PCA and K-Means Clustering
Slope failure in mines is one of the most frequent accident events that cause damage to both property and life every year. This study uses remote...