There are mainly two methods of deep drawing analysis; experimental and analytical/numerical. Experimental analysis can be useful in analyzing the process to determine the process parameters that produce a defect free product, and the analytical/numerical modeling can be used to model and analyze the process through all stages of deformation. This approach is less time consuming and more econom...

in this essay is trying to study the relation between islam and democracy in model of deep democracy and commmitted democracy. thus, i study this relationin on seven factors of concepts of democracy (political or philosophical), awareness from outside, multi approach to democracy, communinty nd self interaction, communiction, situated self and pluralism, that are beyond of current liberal democ...

The analysis of geochemical data in frequency domain, as indicated in this research study, can provide new exploratory informationthat may not be exposed in spatial domain. To identify deep geochemical anomalies, sulfide zone and geochemical noises in Dalli Cu–Au porphyry deposit, a new approach based on coupling Fourier transform (FT) and principal component analysis (PCA) has beenused. The re...

An approach to the concept of deep knowledge is outlined. The approach is based on the assumption that the deepness of knowledge results from its explanatory powers. After considering some examples of deep and shallow knowledge and deening deep knowledge and robustness, an approach to the development of quantitative domain models based on deep knowledge is proposed. The proposed approach is bas...

This work presents a novel deep learning approach to Compressed-Learning.  Jointly optimizing the sensing and inference operators. Outperforming state-of-the-art CL methods on MNIST and CIFAR10. Extendible to numerous CL applications. The research leading to these results has received funding from the European Research Council under European Union's Seventh Framework Program, ERC Grant agre...