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Flag of Turkey Istanbul, Turkey
Member since 1 Σεπτεμβρίου 2016
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I received B.S. and M.S degrees from the Department of Electronics and Communication Engineering, Istanbul Technical University, Istanbul, Turkey in 2013 and 2015, respectively. Now, I'm PhD student in Istanbul Technical University. I worked more than 3 years in R&D projects. My research areas : *** Signal processing *** Image processing *** Computer vision *** Pattern recognition *** Machine learning *** Deep learning Programming languages : *** MATLAB *** C/C++ *** Python Libraries : *** OpenCV *** Dlib Framework : *** Keras *** Caffe GUI design : *** Qt *** MATLAB Integrated development environments (IDE) : *** Qt *** Visual Studio *** MATLAB *** IPython Operating systems : *** Windows *** Linux (Ubuntu)
$10 USD/ώρα
34 αξιολογήσεις
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Πρόσφατες Αξιολογήσεις

  • image of Saira I. Custom work needed in matlab [Sealed]

    “The project is not completed according to the dispute”

  • image of Saira I. Pro needed to fix issues in existing code [Sealed]

    “Always a pleasure to work with !! If you have any issue that comes under his SKILLS , dont check anything , just hire him , he offer fair price and work A++++”

  • image of Saira I. High end complex application [Sealed]

    “Republished : It is always a pleasure to have EYYUP to work on your project .. very good person”

  • image of saqibsultan010 Project for eyyuptemlioglu $30.00 USD

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  • image of Saira I. matlab to write confusion matrix program [Sealed]

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  • image of vamshi4441 Project for eyyuptemlioglu -- 3 $120.00 USD

    “great job, excellent communication, delivered very quickly.”


R&D engineer

Feb 2013 - Sep 2016 (3 years)

R&D engineer



2008 - 2013 (5 years)


2013 - 2015 (2 years)


2016 - 2017 (1 year)


Comparison of feature extraction methods for landmine detection using Ground Penetrating Radar

HOG, SIFT, SURF, BRIEF, EHD Receiver Operating Characteristic (ROC) curves are calculated for comparison of methods.

Comparative analysis of short and long GPR pulses for landmine detection

Comparative analysis of short and long GPR pulses for landmine detection

Sparse representations based clutter removal in GPR images


Clutter Removal in Ground-Penetrating Radar Images Using Morphological Component Analysis

Singular Value Decomposition (SVD), Principal Component Analysis (PCA) and Independent Component Analysis (ICA) are commonly used for clutter removal. They all aim to decompose the GPR images into subcomponents that represent the clutter and the target separately. In this letter, we propose a sparse model for differentiating the target and the clutter using appropriate dictionaries based on Morphological Component Analysis (MCA).

Histograms of Dominant Orientations for anti-personnel landmine detection using GPR

Histograms of Dominant Orientations (HDO) feature extraction method is implemented for landmine detection problem.


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