The efficiency of deep learning and tree-based machine approaches has gained immense popularity in various fields. One model viz. convolution neural network (CNN), artificial (ANN) four models, namely, alternative decision tree (ADTree), classification regression (CART), functional logistic (LMT), were used for landslide susceptibility mapping the East Sikkim Himalaya region India, results comp...

MOTIVATION Establishment of a statistical association between microbiome features and clinical outcomes is of growing interest because of the potential for yielding insights into biological mechanisms and pathogenesis. Extracting microbiome features that are relevant for a disease is challenging and existing variable selection methods are limited due to large number of risk factor variables fro...

Advances in the field of risk assessment have highlighted the importance of developing and validating models for problematic or unique subgroups of individuals. Stalking offenders represent one such subgroup, where fears of and potential for violence are well-known and have important implications for safety management. The present study applies a Classification and Regression Tree (CART) approa...

Hyper-spectral remote sensing increases the volume of information available for research and practice, but brings with it the need for efficient statistical methods in sample spaces of many dimensions. Due to the complexity of problems in high dimensionality, several methods for dimension reduction are suggested in the literature, such as Principal Components Analysis (PCA). Although PCA can be...

Purpose: Classification of gene expression helps study disease. However, it faces two obstacles: an imbalanced class and a high dimension. The motivation this is to examine the effectiveness undersampling before feature selection on high-dimensional data with classes.Methods: Least Absolute Shrinkage Selection Operator (Lasso), which can select features, handle modeling. Random (RUS) be used de...

In the past, the plants have been studied for various reasons whether it is for medicine or diseases classification. A plant can be classified on the basis of its flowers, size and shape of the leaves including color, barks etc. The role of leaves in taxonomic classification of plants is very essential. This paper studies the effect of leaf image quality improvement by sharpening and enhancing ...

The Standard and Poor’s 500 Index (S&P500) is one of the commonly used indices on the New York Stock Exchange. The 500 publicly traded companies that make up the index are chosen by a committee to best reflect the overall market of the United States. The broader objective of this research is to estimate the dynamics of the financial market movement in the United States. It is achieved by develo...

Factor complexity is regarded as a typical characteristic of traffic accidents. This paper proposes a novel method, named boosted regression trees (BRTs), which is particularly appropriate for investigating complicated and nonlinear relationships in high-variance traffic accident data. The Taiwan 2004–2005 single-motorcycle accident data are adopted to demonstrate the usefulness of BRTs. Tradit...

In the current study, it was aimed to determine student, teacher and school characteristics that predict science achievement of eight grade students in Turkey. data TIMMS 2015 were used study group comprised a total 6079 220 teachers from 218 different schools. As collection tools, eighth test scales administered reflecting used. Since there multi-level structure where nested schools, created m...

The objective of this study was to develop a rule based cover type classification system for the forest and woodland vegetation in the Sky Islands of southeastern Arizona. In order to develop such a system we qualitatively and quantitatively compared a hierarchical (Ward’s) and a non-hierarchical (k-means) clustering method. Ecologically, unique groups represented by only a few plots were appro...