Although it is hard to predict wildfires, risky areas can be systematically assessed and managed. Some of the factors for decision-making are hazard, vulnerability, risk maps, which end product wildfire mapping. This study deals with analysis in Queensland, Australia. A review previous studies focusing on each aspect has been done used records from 2011 2019 Australia, compile required input mo...

let $a = (a_{i,j})_{1 leq i,j leq n}$ be an $n times n$ matrixwhere $n geq 2$. let $dt(a)$, its second immanant be the immanant corresponding to the partition $lambda_2 = 2,1^{n-2}$. let $g$ be a connected graph with blocks $b_1, b_2, ldots b_p$ and with$q$-exponential distance matrix $ed_g$. we given an explicitformula for $dt(ed_g)$ which shows that $dt(ed_g)$ is independent of the manner in ...

significant advantages of intermodal and containerized transport have increased the global interest to this mode of transportation. this growing interest is reflected in the annual volume of container cargo growth. however, the container transport inside iran does not have a proper place. comparing the count of containers entering and leaving ports with the statistics obtained from railway and ...

The issue of risk assessment in glaucoma has ‎received increasing attention in the past few ‎years. Predictive models are in order to ‎estimate the risk that patients with ocular ‎hypertension will develop to primary open ‎angle glaucoma (POAG) if left untreated. ‎These models are based on classification ‎techniques on the risk factors. Classification is ‎accomplished using conventional risk fa...

Grapheme-to-phoneme (G2P) conversion is an important component in a Text-to-Speech (TTS) system. The difficulty in Chinese G2P conversion is to pick out one correct pronunciation from several candidates according to the context information. By evaluating the distribution of polyphones in a corpus with manually corrected pinyin transcriptions, this paper pointed out that the overall error rate o...

BACKGROUND In order to better assist medical professionals, this study aimed to develop and compare the performance of three models-a multivariate logistic regression (LR) model, an artificial neural network (ANN) model, and a decision tree (DT) model-to predict the prognosis of patients with advanced schistosomiasis residing in the Hubei province. METHODOLOGY/PRINCIPAL FINDINGS Schistosomias...

Satellite and airborne images, including Landsat, ASTER, and Hyperspectral data, are widely used in remote sensing and Geographic Information Systems (GIS) to understand natural earth related processes, climate change, and anthropogenic activity. The nature of this type of data is usually multi or hyperspectral with individual spectral bands stored in raster file structures of large size and gl...

The purpose of the work is to investigate use decision tree (DT) enhanced by bootstrap aggregates (Bag) and least-squares boosting (Lsboost) in modeling organic matter water according its physicochemical parameters. An entire database 500 samples 21 parameters, including matter, was used build DT, DT_Bag, DT_Lsboost models. Training data (364 points) resampled using a technique form different t...

A single thresholding technique may not provide the best binarization for all images of datasets such as protein crystallization images. To overcome this limitation, multiple thresholding methods are used to binarize images. Whenever multiple thresholding techniques are used, it is important to know which one provides the best result automatically. To solve this problem, in this study, we propo...