In article number 2005112, Jakoah Brgoch and co-workers establish an ensemble machine-learning method to find new superhard materials. The model is trained on the sparse experimental data available in literature predict load-dependent Vickers hardness based only chemical composition. Crystal-structure databases unknown phase diagrams are then screened search of novel materials with outstanding ...

abstract         sasanian dynasty, who governed as the last and the most glorious dynasty before islam in iran, has had an important role in enrichment of sasanian silver works and we owe the majority of silver works to this era. metalwork is one of the oldest arts iniranian civilization. the prominent metalwork crafts‚ left from different ages‚ acknowledge this fact. the art of this era has di...

Iris recognition is one of the most reliable methods for identification. In general, itconsists of image acquisition, iris segmentation, feature extraction and matching. Among them, iris segmentation has an important role on the performance of any iris recognition system. Eyes nonlinear movement, occlusion, and specular reflection are main challenges for any iris segmentation method. In thi...

Iris recognition is one of the most reliable methods for identification. In general, itconsists of image acquisition, iris segmentation, feature extraction and matching. Among them, iris segmentation has an important role on the performance of any iris recognition system. Eyes nonlinear movement, occlusion, and specular reflection are main challenges for any iris segmentation method. In thi...

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...