The present work was designed to classify and differentiate between the dehalogenase enzyme to non–dehalogenases (other hydrolases) by taking the amino acid propensity at the core, surface and both the parts. The data sets were made on an individual basis by selecting the 3D structures of protein available in the PDB (Protein Data Bank). The prediction of the core amino acid were predicted by I...

The Zagros forests (west of Iran) have been highly exploited in recent decades by human impacts. Easy access, abundance and variety of valuable forest yields have led to population growth density, creation of new residential areas and deforestation activities. In order to determinate the distribution and rate of deforestation from 1995 to 2006 by using the satellite imagery (IRS-1C and  LANDSAT...

The Zagros forests (west of Iran) have been highly exploited in recent decades by human impacts. Easy access, abundance and variety of valuable forest yields have led to population growth density, creation of new residential areas and deforestation activities. In order to determinate the distribution and rate of deforestation from 1995 to 2006 by using the satellite imagery (IRS-1C and  LANDSAT...

One product of the MODIS sensor (Moderate Resolution Imaging Spectroradiometer) is the EVI2 (Enhanced Vegetation Index). It generates images of around 23 observations each year, that combined can be interpreted as time series. This work presents the results of using two types of features obtained from EVI2 time series: basic and polar features. Such features were employed in automatic classific...

The structure of a protein can reveal its function and its evolutionary history. Extracting this information requires knowledge of the structure and its relationship with other proteins. Secondary structures of protein are compact with helices and strands. Hence there is a need for development of computational techniques for prediction and classification of HIV-1and HIV-2 protein (enzymes) stru...

Building type information is crucial to many urban studies, including fine-resolution population estimation, urban planning, and management. Although scientists have developed many methods to extract buildings via remote sensing data, only a limited number of them focus on further classification of the extracted results. This paper presents a novel building type classification scheme based on t...

Dual polarized X-Band Synthetic Aperture Radar (SAR) data were obtained for a test site in South Carolina containing a variety of forest and agricultural cover types, as well as water and urban areas. The optically correlated images were digitized with a scanning microdensitometer using a 40 ~m aperture. Digi tal registration of the two polarizations was more difficult than anticipated due to g...

The Zagros forests (west of Iran) have been highly exploited in recent decades by human impacts. Easy access, abundance and variety of valuable forest yields have led to population growth density, creation of new residential areas and deforestation activities. In order to determinate the distribution and rate of deforestation from 1995 to 2006 by using the satellite imagery (IRS-1C and  LANDSAT...

classifying age classes in a large area using remotely sensed data has considerable significance for forest sustainable management. in this research, landsat etm+ data from loveh forest, dating july 2002, were analyzed to investigate the potential of this sensor for age class mapping. we applied a systematic cluster sampling method to collect field data. we used 99 plots so that contained 32 pl...