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$25 USD / hour
Flag of TR
trabzon, turkey
$25 USD / hour
It's currently 4:46 PM here
Joined March 8, 2016
1 Recommendation

Mengu D.

@buralardayim

3.6 (1 review)
2.9
2.9
$25 USD / hour
Flag of TR
trabzon, turkey
$25 USD / hour
100%
Jobs Completed
100%
On Budget
100%
On Time
14%
Repeat Hire Rate

Expert in Machine Learning - Python in Matlab

I'am PhD student in machine learning (especially deep learning and fuzzy logic). I am studying with Python and Matlab nearly 10 years. I can deliver projects ON TIME. Thanks for your attention.
Freelancer Matlab and Mathematica Engineers Turkey

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Portfolio Items

Detection of forearm movements using wavelets and Adaptive N
Marine accident analysis is important for ships passing through narrow, shallow and busy waterways. This study analyses the accidents which have occurred in the Istanbul Strait and proposes both quantitative and qualitative assessments of marine accidents. Marine accidents occurring in the Istanbul Strait are analysed by using a method based on neuro-fuzzy and genetically optimised fuzzy classifiers. It can be concluded that accident severity increases when poor weather conditions prevail in the Strait regardless of ship size. Therefore, solutions to reduce unwanted events should be prioritised by accounting for weather conditions and the capacity of the vessels. This analysis indicates that the safety level would be significantly improved if all the vessels follow the passage guidelines.
Analysis of Ship Accidents in the Istanbul Strait Using ...
Hazelnut is one of the most important agricultural products of Turkey, the largest producer of hazelnuts in the world. The kernel of the hazelnut is a major ingredient of chocolate industry after its shell and skin is removed. Hazelnuts with partial skin after the skinning process are rejected by the chocolate industry. Manufacturers have hazelnuts inspected by workers after the skin removal. An automated image processing and classification system based on Fuzzy Logic to identify partial skinned hazelnuts on a conveyor belt is proposed in this paper.
Fuzzy Logic based identification of partially skinned hazeln
Hazelnut is one of the most important agricultural products of Turkey, the largest producer of hazelnuts in the world. The kernel of the hazelnut is a major ingredient of chocolate industry after its shell and skin is removed. Hazelnuts with partial skin after the skinning process are rejected by the chocolate industry. Manufacturers have hazelnuts inspected by workers after the skin removal. An automated image processing and classification system based on Fuzzy Logic to identify partial skinned hazelnuts on a conveyor belt is proposed in this paper.
Fuzzy Logic based identification of partially skinned hazeln

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3.6
$35.00 USD
I am very happy with the work delivered. This Freelancer went an extra mile to ensure my project is delivered on time. :)
Engineering Matlab and Mathematica R Programming Language
User Avatar
Flag of US Vikrant L. @vikrantlakhanpal
6 years ago

Publications

Fuzzy Logic based identification of partially skinned hazelnuts on a conveyor belt

IEEE International Symposium on Innovations in Intelligent Systems and Applications (INISTA)
Hazelnut is one of the most important agricultural products of Turkey, the largest producer of hazelnuts in the world. The kernel of the hazelnut is a major ingredient of chocolate industry after its shell and skin is removed. Hazelnuts with partial skin after the skinning process are rejected by the chocolate industry. Manufacturers have hazelnuts inspected by workers after the skin removal. An automated image processing and classification system based on Fuzzy Logic to identify

Classification of Cognitive Fatigue with EEG Signals

Medical Technologies National Conference (TIPTEKNO)
Cognitive fatigue is the natural result of longtime mental effort during the execution of a high mental workload or a strenuous task. This situation often leads to decreased productivity and increased security risks. In this study, it was aimed to detect cognitive fatigue quickly and accurately, regardless of subjective data. CogBeacon dataset was used for this. Data that make up the CogBeacon dataset were collected from 19 participants in 76 sessions with the help of a 4-electrode MUSE electr

Pattern recognition based analysis of arm EMG signals and classification with artificial neural netw

IEEE Signal Processing and Communications Applications (SIU)
Thanks to improving technology human life is consistently becoming easier. In points which exceeds human abilities machines come into play and they overcomes they remedy the deficiencies of human. One of the disciplines which must be evaluated in this coverage is manufacturing artificial hand for defective human which can manage with EMG signals. In this paper we tried to classify EMG signals which is belong to hands and arms who are limbs that human frequently use in daily life.

Detection of forearm movements using wavelets and Adaptive Neuro-Fuzzy Inference System (ANFIS)

IEEE International Symposium on Innovations in Intelligent Systems and Applications (INISTA)
In this paper, a technique to classify seven different forearm movements using surface electromyography (sEMG) data which were received from 8 able bodied subjects was proposed. A 2-channel sEMG system was used for data acquisition and recording, then this raw electromyography (EMG) signals were applied to the wavelet denoising. In the next step, time-frequency feature is extracted calculating wavelet packet transform (WPT) coefficients for the offline classification. Feature vector of EMG signa

LİMAN ELLEÇLEME HIZININ ARTIRILMASI İÇİN GENETİK ALGORİTMA TABANLI YENİ BİR YAKLAŞIM

IV. ULUSAL LİMAN KONGRESİ “KÜRESEL EĞİLİMLER-YEREL STRATEJİLER”
Teknolojik gelişmeler ışığında toplumların istek ve ihtiyaçlarındaki değişimler, küresel düzeyde üretilen ürün miktarlarının ve çeşitliliğinin artmasına ve ticari veri odaklı büyük bilgi yığınlarının oluşmasına sebep olmaktadır. Söz konusu bu bilgi yığınlarının işlenerek anlamlı verilere dönüştürülmesi küresel ticaretin sürekliliği ve etkinliği açısından önem arz etmektedir. Günümüzde bilgi yığınlarının işlenerek anlamlı verilere dönüştürülmesinde yapay zekaya dayalı süreç optimizasyon

Analysis of Ship Accidents in the Istanbul Strait Using Neuro-Fuzzy and Genetically Optimised

The Journal of Navigation
Marine accident analysis is important for ships passing through narrow, shallow and busy waterways. This study analyses the accidents which have occurred in the Istanbul Strait and proposes both quantitative and qualitative assessments of marine accidents. Marine accidents occurring in the Istanbul Strait are analysed by using a method based on neuro-fuzzy and genetically optimised fuzzy classifiers. It can be concluded that accident severity increases when poor weather conditions prevail in ...

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Matlab and Mathematica 4 Neural Networks 1 Python Research Electrical Engineering

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