11 results for “SVM”
Research Article
Open Access Recognition of Handwritten Source Code Characters With Deep Neural Networks
Barış Kılıçlar, Kılıçlar B, Metehan Makinacı, Makinacı M
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.111
In this paper we presents an application of deep learning techniques to recognize handwritten source code characters. Although there are many works on the handwritten character recognition (HCR) problem, very few works have been done about the offline handwrit…
Research Article
Open Access Akut Lenfoblastik Löseminin Makine Öğrenimi ile Sınıflandırılması
Ayşe Berika Varol Malkoçoğlu , Varol Malkoçoğlu A, İsmail İşeri, İşeri İ
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.139
Akut Lenfoblastik Lösemi (ALL) genellikle 2-5 yaş arasındaki çocuklarda görülen, kemik iliğindeki beyaz kan hücrelerinin hızlı artışından ve şekilsel bozukluklarından kaynaklanan bir kanser türüdür. Tespit edilip tedavi sürecinin başlatılmadığı takdirde ölümle…
Research Article
Open Access Support Vector Machine Classifier of Grain Stored in Silo-bags by Using Wireless Network of Temperature and Moisture Sensors
Shawqi Mohammed Othman Farea, Mohammed Othman Farea S, Muzaffer Kanaan, Kanaan M
International Congress on Human-Computer Interaction, Optimization and Robotic Applications 2019 https://doi.org/10.36287/setsci.4.5.003
We propose using support vector machines (SVMs) as a machine learning classifier in a grain-conditionmonitoring system. This system is used to proactively monitor the silobag-stored grain condition. The system consists of a wireless sensor network (WSN) and a …
Research Article
Open Access Comparison of Control Methods Approaches in Microgrid Architectures
Ayşe Bağıran, Bağıran A, Köksal Erentürk, Erentürk K
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.070
A microgrid is a power grid consists of distributed power generation units and loads. Microgrid is also a system that can operate in grid-connected mode and islanding (autonomous) mode. The control of distributed power generation units in microgrids is necessa…
Research Article
Open Access Meme Kanserinin Makine Öğrenmesi Yöntemleri İle İkili Sınıflandırılması
Hakan Kör, Kör H
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.145
Bu çalışmada, 596 kayıt ve 31 sütundan oluşan veri setiyle R programlama dili üzerinde akciğer kanserinin ikili sınıflama başarısı test edilmiştir. İlk aşama veri setinin temizlemesi, boş değerlerin kaldırılması ve verilerin denetlenmesinden oluşmaktadır. Daha…
Review
Open Access A Review of Robotic Hand and Its Applications
Gülnur Yılmaz, Yılmaz G, Yakup Hameş, Hameş Y, Kemal Kaya, Kaya K
International Congress on Human-Computer Interaction, Optimization and Robotic Applications 2019 https://doi.org/10.36287/setsci.4.5.008
This study basically presents a review of robotic hands and its applications based on human hand motion. In the context of the review, different kinds of articles are analyzed. There are some hand motion-sensing methods, which are noncontact and direct contact…
Research Article
Open Access Yazılım Tabanlı Bilişsel Radar ile Mikro Doppler İmzasından Helikopter Tespiti ve Sınıflandırılması
Baran Akbıyık, Akbıyık B, Eralp Göğen, Göğen E, Alparslan Çağrı Yapıcı, Yapıcı A
International Congress on Human-Computer Interaction, Optimization and Robotic Applications 2019 https://doi.org/10.36287/setsci.4.5.037
Bu çalışmada helikopterlere ait mikro doppler karakteristikleri kullanılarak 4 farklı helikopter için benzetim çalışmaları gerçekleştirilmiştir. Benzetim çıktıları sonucunda Çok Katmanlı Yapay Sinir Ağı kullanılarak helikopter sınıflandırılması için öznitelik …
Research Article
Open Access Word Vector Space for Text Classification and Prediction According to Author
İlknur Dönmez, Dönmez İ, Elnaz Pashaei , Pashaei E, Elham Pashaei
International Congress on Human-Computer Interaction, Optimization and Robotic Applications 2019 https://doi.org/10.36287/setsci.4.5.021
Word embedings are intense vector representations of words. They capture the semantic order between words. In our study, we propose a new method for classifying text by author, using word embeds and author vector space. Using each author's books, we trained th…
Research Article
Open Access A Mobile Robot Application for 3D Object Classification via Point Cloud Data in Indoor Environment
Fatma Caran, Caran F, Güleycan Tuğrul, Tuğrul G, Ümit Göven, Göven Ü, Kaya Turgut, Turgut K, Burak Kaleci, Kaleci B
International Congress on Human-Computer Interaction, Optimization and Robotic Applications 2019 https://doi.org/10.36287/setsci.4.5.038
3D object classification has been widely studied in robotic community in recent years. According to types of features that are utilized to describe an object, 3D object classification studies can be separated into two main categories (local and global).The loc…
Research Article
Open Access Kompleks Değerli Yapay Sinir Ağları ile Kardiotokogram Verisinde Morfolojik Örüntü Sınıflandırma
Eda Çapa Kızıltaş , Çapa Kızıltaş E, Ayşenur Uzun , Uzun A, Ersen Yılmaz , Yılmaz E
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019
Bu çalışmada UCI Makine Öğrenmesi havuzundan alınan kardiotokogram verisinde morfolojik örüntü sınıflandırması yapılmıştır. Sınıflandırıcı olarak kompleks değerli yapay sinir ağları kullanılmıştır. Sınıflandırıcının performansı 10-katlı çapraz doğrulama yaklaş…
Research Article
Open Access A Performance Analysis of Extreme Learning Machine on Skin Segmentation Dataset
Ayşenur Uzun , Uzun A, Eda Çapa Kızıltaş , Kızıltaş E, Ersen Yılmaz , Yılmaz E
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019
Digital image processing has become popular research area recently because of its widespread application compatibility such as security, robotics, quality control, face authentication. Skin segmentation methodology, which is a tool of digital image processing,…
