Highly accurate and experienced Data Scientist with several years of experience . I use predictive modeling, Data processing and Data mining algorithms to solve Challenging Medical problems. Currently, most of my work is focused on medical image processing and I have implemented many image processing neural networks such as UNET, etc. (You can also check them in my GitHub). I have also done projects in field of Drug Discovery and implemented RNN neural networks to Discover Chemical Structures. In addition, I have done a lot of work in the field of Build and Develop process management software And financial resource control. my research interest's are : intelligent monitoring systems, Medical Image Processing, Drug Discovery and IMS. I have done lots of works in this fields which you can see in my projects section.
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A-Stacking-Based-Model-for-Non-Invasive-Detection-of-Coronary-Heart-Disease
A-Stacking-Based-Model-for-Non-Invasive-Detection-of-Coronary-Heart-Disease PublicA Stacking-Based Model for Non-Invasive Detection of Coronary Heart Disease
Python 5
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Brain-Tumor-Segmentation-UNET
Brain-Tumor-Segmentation-UNET Publiccreate Brain Tumor Segmentation Launch file
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fuzzy-car-accident-risk-predictor
fuzzy-car-accident-risk-predictor PublicIn this project we want to examine a hypothetical system for automatic car braking to describe the mechanism of fuzzy inference systems
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Face-Mask-Detection
Face-Mask-Detection PublicFace Mask Detection - CNN - (Covid-19) Python
Python 1
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Car-Identification-System
Car-Identification-System PublicThe program stores the car's license plate number along with other information and You can access that person's contact information and other information when needed by searching for a license plat…
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