My Work as an associate professor in the field of Software Engineering at Department of Computer Engineering, Miandoab Branch, Islamic Azad University, Miandoab, Iran. My teaching and research interests are focused mainly on the Deep learning, Computer Vision, Medical image processing, Computational Intelligence.
Continuous increasing of costs and increasing development of technology has made it necessary to ... more Continuous increasing of costs and increasing development of technology has made it necessary to delete some parts of costs that have no role in promoting quality and from the point of performance they are unnecessary. According to what mentioned, the present research has been done to design, development and evaluate fault diagnosis system of hydraulic pump through vibration analyzing and nervous net. The results of this research show that using statistical parameters of vibration spectrum is a simple method for getting characteristics of the spectrum, using data analysis method for selecting major characteristics will reduce the number of parameters and will increase net speed, changing wavelet transform will be successful process for unstable signals getting from hydraulic pump in different states, general accuracy of the net for recognizing defect in all states is higher than 95% and it shows that efficiency of the net for recognizing defect is good and acceptable.
Iranian Quarterly Journal of Breast Disease. , 2019
Introduction: Breast cancer is the most common cancer among women in the world. The automatic det... more Introduction: Breast cancer is the most common cancer among women in the world. The automatic detection of masses in digital mammograms is a challenging task and a major step in the development of breast cancer CAD systems. In this study, we introduce a new method for automatic detection of suspicious mass candidate (SMC) regions in a mammogram.
Continuous increasing of costs and increasing development of technology has made it necessary to ... more Continuous increasing of costs and increasing development of technology has made it necessary to delete some parts of costs that have no role in promoting quality and from the point of performance they are unnecessary. According to what mentioned, the present research has been done to design, development and evaluate fault diagnosis system of hydraulic pump through vibration analyzing and nervous net. The results of this research show that using statistical parameters of vibration spectrum is a simple method for getting characteristics of the spectrum, using data analysis method for selecting major characteristics will reduce the number of parameters and will increase net speed, changing wavelet transform will be successful process for unstable signals getting from hydraulic pump in different states, general accuracy of the net for recognizing defect in all states is higher than 95% and it shows that efficiency of the net for recognizing defect is good and acceptable.
Iranian Quarterly Journal of Breast Disease. , 2019
Introduction: Breast cancer is the most common cancer among women in the world. The automatic det... more Introduction: Breast cancer is the most common cancer among women in the world. The automatic detection of masses in digital mammograms is a challenging task and a major step in the development of breast cancer CAD systems. In this study, we introduce a new method for automatic detection of suspicious mass candidate (SMC) regions in a mammogram.
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