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$10 USD / hour
TURKEY的国旗
tuzla evora sitesi b8 blok daire: 40 pedik, turkey
$10 USD / hour
目前这里是2:52 下午
九月 1, 2016已加入
1 建议

Eyyup T.

@eyyuptemlioglu

5.0 (37条评论)
5.0
5.0
95%
95%
$10 USD / hour
TURKEY的国旗
tuzla evora sitesi b8 blok daire: 40 pedik, turkey
$10 USD / hour
97%
工作已完成
85%
在预算内
87%
按时
32%
重复雇用率

PhD candidate - R&D engineer - Software developer

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 5 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 *** TensorFlow Framework : *** Keras *** Caffe GUI design : *** Qt *** PyQt5 *** PySide2 *** MATLAB Integrated development environments (IDE) : *** Qt *** Visual Studio *** MATLAB *** Jupiter - IPython *** Spyder *** PyCharm Operating systems : *** Windows *** Linux (Ubuntu) and *** Raspberry Pi

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评论

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展示37中的1-5条评论
筛选评论规则:
5.0
$400.00 USD
He is very hard working and extraordinary professional .. May GOD bless him with a GOOD health and success always thanks a lot
Matlab and Mathematica
Machine Learning (ML)
C++ Programming
Face Recognition
Artificial Intelligence
T
Closed User
@tracersa
6 年前
5.0
$275.00 USD
grate freelancer !
Python
Matlab and Mathematica
Machine Learning (ML)
C++ Programming
OpenCV
用户头像
的国旗 Asma S.
@Asmasuliaman
6 年前
5.0
₹3,500.00 INR
Very knowledgeable and professional.
Python
Matlab and Mathematica
Machine Learning (ML)
C++ Programming
OpenCV
C
Closed User
@consultingedge
6 年前
5.0
₹2,800.00 INR
Excellent work
Python
Matlab and Mathematica
Machine Learning (ML)
Face Recognition
OpenCV
C
Closed User
@consultingedge
6 年前
5.0
$50.00 USD
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++++
Matlab and Mathematica
Machine Learning (ML)
C++ Programming
Face Recognition
Artificial Intelligence
T
Closed User
@tracersa
7 年前

经验

R&D engineer

THE SCIENTIFIC AND TECHNOLOGICAL RESEARCH COUNCIL OF TURKEY
2月 2013 - 9月 2016 (3 年, 7 个月)
R&D engineer

教育

PhD

Istanbul Teknik Üniversitesi, Turkey 2016 - 2017
(1 年)

MS

Istanbul Teknik Üniversitesi, Turkey 2013 - 2015
(2 年)

BS

Istanbul Teknik Üniversitesi, Turkey 2008 - 2013
(5 年)

出版物

A least mean square approach to buried object detection in ground penetrating radar

IEEE - 2017
In this study, Least Mean Square (LMS) approach is used to solve buried object detection problem. The proposed approach is tested with a realistic data set simulated by using a new version of gprMax electromagnetic modeling software. The data set consists of several different soil types, objects, different burial depths and surface types. Resulting Receiver Operating Characteristic (ROC) curves demonstrate the performance of the proposed method.

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

IEEE - 2017
Histograms of Dominant Orientations (HDO) feature extraction method is implemented for landmine detection problem.

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

IEEE Geoscience and Remote Sensing Letters - 2016
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).

Sparse representations based clutter removal in GPR images

IEEE - 2015
PCA, SVD, FAST-ICA, JADE-ICA, MCA

Comparative analysis of short and long GPR pulses for landmine detection

SPIE - 2016
Comparative analysis of short and long GPR pulses for landmine detection

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

IEEE - 2016
HOG, SIFT, SURF, BRIEF, EHD Receiver Operating Characteristic (ROC) curves are calculated for comparison of methods.

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