Habitat suitability index (HSI) models are traditionally used to evaluate habitat quality for wildlife at a local scale. Rarely have such models incorporated spatial relationships of habitat components. We introduce Landscape HSImodels, a new Microsoft Windowst (Microsoft, Redmond, WA)–based program that incorporates local habitat as well as landscape-scale attributes to evaluate habitats for 2...

The lateral ordering of arrays of self-assembled InAs-GaAs quantum dots (QDs) has been quantified as a function of growth rate, using the Hopkins-Skellam index (HSI). Coherent QD arrays have a spatial distribution which is neither random nor ordered, but intermediate. The lateral ordering improves as the growth rate is increased and can be explained by more spatially regular nucleation as the Q...

Most hyperspectral images (HSI) have important spectral features in specific combination of wave numbers or channels. Noise in these specific channels or bands can easily overwhelm these relevant spectral features. Maximum Noise Fraction (MNF) by Green et al. [1] has been extensively studied for noise removal in HSI data. The MNF transform maximizes the Signal to Noise Ratio (SNR) in feature sp...

The prediction of a stock market direction may serve as an early recommendation system for short-term investors and as an early financial distress warning system for long-term shareholders. In this paper, we propose an empirical study on the Korean and Hong Kong stock market with an integrated machine learning framework that employs Principal Component Analysis (PCA) and Support Vector Machine ...

With the development of deep learning, the performance of hyperspectral image (HSI) classification has been greatly improved in recent years. The shortage of training samples has become a bottleneck for further improvement of performance. In this paper, we propose a novel convolutional neural network framework for the characteristics of hyperspectral image data, called HSI-CNN. Firstly, the spe...

Abstract Background We evaluated the validity of some non-invasive scores and ultrasound findings to predict fibrosis steatosis in a cohort NAFLD patients who underwent liver biopsy. Ninety-seven were enrolled classified into NASH (66) simple groups (31) based on ROC curves constructed for Fibrosis-4 index (FIB4), aspartate aminotransferase platelet ratio ( APRI), score (NFS) prediction, also (...

Hyperspectral image (HSI) denoising is essential for enhancing HSI quality and facilitating HSI processing tasks. However, the reduction of noise in HSI is a difficult work, primarily due to the fact that HSI consists much more spectral bands than other remote sensing images. Therefore, comparing with other image denoising jobs that rely primarily on spatial information, efficient HSI denoising...

INTRODUCTION The prevalence of liver steatosis is particularly high in subjects with signs of the metabolic syndrome, and current therapeutic guidelines mostly rely on lifestyle changes alone, which rarely achieve significant objective improvements. In the present study, we evaluated the possibility of monitoring objective improvements in these subjects, before and after a dietary regimen. ME...

Habitat Suitability Index (HSI) derived from Species Distribution Model (SDM) has been used to infer or predict local demographic properties such as abundance for many species. Across species studied, HSI either presented a poor predictor of potential rather than realized abundance. The main explanation the lack relationship between and is that varies in time due various ecological processes ar...

BACKGROUND There is increasing recognition that the two measures in the Heaviness of Smoking Index (HSI), time to first cigarette of the day (TTFC) and daily consumption (cigarettes per day [CPD]), are strong predictors of quitting behavior. METHODS Use of Waves 1-4 of International Tobacco Control cohort with around 8,000 respondents per wave and 6,000 for prediction of quit outcomes at the ...