this study investigates the relationship between market structure and profitability in the iranian manufacturing industries. in this study, raw data based on international standard industrial classification (at four digit code) has been used. fixed effects panel estimation method (based on diagnostic test results) has been chosen for empirical investigation. the result of the study confirms the...

We explore the use of certain image features, blockwise histograms of local orientations, used in many current object recognition algorithms, for the task of handwritten digit recognition. Existing approaches find that polynomial kernel SVMs trained on raw pixels achieve state of the art performance. However such kernel SVM approaches are impractical as they have a huge complexity at runtime. W...

  The main purpose of present study is to analyze the relationship between stock and exchange markets in two Asian countries, Iran and South Korea. A monthly time series of stock price and exchange rate are used over the period 2002: 05 - 2012: 03. The data is collected from the Central Bank of each country and WDI. The calculated stock return and real exchange rate change are used in analysis....

Convolutional neural networks (CNNs) have been broadly employed in dermoscopic image analysis, mainly as a result of the large amount data gathered by International Skin Imaging Collaboration (ISIC). As many other medical imaging domains, state-of-the-art methods take advantage architectures developed for tasks, frequently assuming full transferability between enormous sets natural images (e.g....

economic sanctions appear to be a common feature of political interactions between states. economic sanctions have become increasingly important as alternative to military conflict since the last decade of twentieth century. this paper provides, through a gravity model, an estimation of the impact of economic sanctions on bilateral trade flows between iran and its major trading partners during ...