نتایج جستجو برای: مدل sparse gash
تعداد نتایج: 179189 فیلتر نتایج به سال:
Persian juniper and Pistachio are grown in low density in the rangelands of North-East of Iran. These rangelands are populated by evergreen conifers, which are widespread and present at low-density and sparse shrub of pistachio in Iran, that are not only environmentally but also genetically essential as seed sources for pistachio improvement in orchards. Rangelands offer excellent opportunities...
In scientific and commercial fields associated with modern agriculture, the categorization of different rice types and determination of its quality is very important. Various image processing algorithms are applied in recent years to detect different agricultural products. The problem of rice classification and quality detection in this paper is presented based on model learning concepts includ...
This study describes the practice of collaborative governance on revitalization Sekanak River in city Palembang, where it will be analyzed using theoretical approach Ansell and Gash related to criteria governance. The Regional Head directly leads implementation River, which is a very interesting phenomenon studied depth from perspective. Community involvement important realizing goal revitalizi...
As perdas por interceptação das águas pluviais são frequentemente negligenciadas devido às dificuldades de medição e grande variabilidade espacial temporal. podem ser significativas e, portanto, ter um impacto severo no balanço hídrico uma bacia hidrográfica. O presente trabalho teve como objetivo obter a pluvial na hidrográfica do Alto Juruá (BHAJ), meio modelo Gash, com base em dados sensoria...
Eritrea has one of the northernmost populations of African elephants. Only about 100 elephants persist in the Gash-Barka administrative zone. Elephants in Eritrea have become completely isolated, with no gene flow from other elephant populations. The conservation of Eritrean elephants would benefit from an understanding of their genetic affinities to elephants elsewhere on the continent and the...
In this paper, a sparse representation based manifold learning method is proposed. The construction of the graph manifold in high dimensional space is the most important step of the manifold learning methods that is divided into local and gobal groups. The proposed graph manifold extracts local and global features, simultanstly. After construction the sparse representation based graph manifold,...
In this paper we propose the spatial sparsity based WCSSDOA method for multi speakers' Direction of arrival estimation. In the proposed method the sparse modeling is done based on the sensor signals' correlation matrix, which leads to low computational complexity. In this method the SVD decomposition of the noise covariance matrix is proposed to reach the free noise sparse model, which leads to...
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