نتایج جستجو برای: islamshahr regions
تعداد نتایج: 352679 فیلتر نتایج به سال:
Efforts to understand the genetic basis of evolutionary change have concentrated on proteins and their encoding DNA sequences. These studies have brought to light patterns and processes at the nucleotide level, yet the complex functional relationships between genetic variants and phenotypes remain poorly known. The realization that even a complete description of proteins and the effects of thei...
We consider an optimization version of the image segmentation problem, in which we are given a grid graph with weights on the grid cells. We are interested in finding the maximum weight subgraph such that the subgraph can be decomposed into two ”star-shaped” images. We show that this problem can be reduced to the problem of finding a maximum-weight closed set in an appropriately defined directe...
The objective of this research was to determine the best model and compare performances in terms of producing landuse maps from six supervised classification algorithms. As a result, different algorithms such as the minimum distance ofmean (MDM), Mahalanobis distance (MD), maximum likelihood (ML), artificial neural network (ANN), spectral anglemapper (SAM), and support vector machine (SVM) were...
The weighing records of 18 crossbred females with average live weight of 14.7 ± 3.14 kg were analyzed to study the relationship of the growth of crossbred hair sheep with some zoometric measures. The weight was established and took the measures thoracic perimeter, cannon perimeter, body length, neck length, hip amplitude, ischial amplitude, withers height and croup height. All parameters were s...
When performing asymptotic expansions using the strategy of expansion by regions, it is a non-trivial task to find the relevant regions. The recently published Mathematica code asy.m automates this task, but it has not been able to detect potential regions in threshold expansions or Glauber regions. In this work we present an algorithm and its implementation in the update asy2.m which also reve...
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Abstract Background: Regions at the level of NUTS 3, which is a system used in EU for various analyses and statistical reports, can be defined as functional regions terms labour markets, education areas, supply markets. Objectives: This study Slovenia, differentiated by gender, their correspondence with 3. Methods/Approach: Functional are analysed market modelled according to CURDS method, eval...
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