37 results for “Skin Segmentation, Extreme Learning Machine, Machine Learning, Classification, Image Processing”
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 Pedestrian and Vehicles Detection with ResNet in Aerial Images
Enes Cengiz, Cengiz E, Cemal Yılmaz, Yılmaz C, Hamdi Tolga Kahraman, Kahraman H, Fatih Bayram, Bayram F
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.107
In today's applications, a significant increase in the use of deep learning algorithms is noticeable. The convolution neural network (CNN) of deep learning has been used frequently recently, especially for the successful discrimination of people and vehicles …
Research Article
Open Access Çok Katmanlı Algılayıcı Yapay Sinir Ağı Kullanarak Packman Oyununda Yapılan El Hareketlerinin Sınıflandırılması
Rukiye Uzun Arslan, Uzun Arslan R, Gizem Kübra Yaman, Yaman G, Yalçın İşler, İşler Y
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.076
Elektromiyografi, kas aktivitesi sonucunda meydana gelen biyolojik işaretlerin ölçülmesine olanak sağlayan invaziv olmayan bir yöntemidir. Yüzey ve iğne elektromiyografisi olarak uygulama amacına göre iki şekilde kullanılmaktadır. Bu çalışmada internet üzerin…
Research Article
Open Access Comparison of Standardized Runoff Index and Apportionment Entropy in Hydrological Drought Analysis of Susurluk Basin Flows
Umut Okkan, Okkan U, Hatice Altun, Altun H
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.084
Hydrological drought is one of the most essential natural hazards attributing water scarcity and its global impact increases due to the climate change. In particular, the usage of climate models and rainfall-runoff models for projecting the severity of future …
Research Article
Open Access Göktepe’de Yetişen Sideritis leptoclada Bitkisinin Farklı Ekstrelerinin Antioksidan Aktivitesi
Yusuf Sıcak, Sıcak Y, İrfan Öztürk, Öztürk İ, Eyüp Başaran, Başaran E, Hatice Ulusoy, Ulusoy H
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.136
Sideritis türleri halk arasında çay olarak sindirim sistemi bozukluklarının tedavisinde karminatif, digestif ve diüretik özellikleri nedeniyle geleneksel olarak tıbbi bitki olarak kabul edilmektedir. Son zamanlarda, bu bitkinin biyoaktivite potansiyeli hakkınd…
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 Classification of Induction Motors by Fault Type with bidirectional Long-Short Term Memory Method
Ahmet Ali Süzen, Süzen A, Kıyas Kayaalp, Kayaalp K
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.074
It is important to determine the initial level of failures of induction motors used in many industrial applications. The sudden stops of the system can be prevented with the pre-detection of the fault. The experiment mechanism was established to detect mechani…
Research Article
Open Access The New Activation Function for Complex Valued Neural Networks: Complex Swish Function
Mehmet Çelebi, Çelebi M, Murat Ceylan, Ceylan M
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.050
Complex-valued artificial neural network (CVANN) has been developed to process data with complex numbers directly. In a CVANN the weights, threshold, inputs and outputs are all complex numbers. The convergence of the CVANN back propagation algorithm depending …
Research Article
Open Access Low Voltage Organic Field Effect Light Emitting Transistors with Vertical Geometry
Melek Uygun, Uygun M, Savaş Berber, Berber S
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.112
The devices developed in the field of organic electronics in recent years are on the technological applications and development of organic electronic devices using organic semiconductor films. The main applications of the organic electronic revolution are; Ele…
Research Article
Open Access Trafik Hız Sınırlama Levhalarının Derin Öğrenme ile Sınıflandırılması
Zeynep İlkılıç Aytaç, İlkılıç Aytaç Z, İsmail İşeri, İşeri İ, Beşir Dandıl, Dandıl B
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.147
Yapay sinir ağları makine öğrenmesi alanında birçok problemin çözümünde sıklıkla kullanılmaktaydı. Fakat “Yapay Zeka Kışı” olarak da adlandırılan dönemde ilk olarak donanımsal kısıtlamalar ve diğer problemler sebebiyle bu alandaki çalışmalar durma noktasına ge…
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…
Research Article
Open Access Stratigraphy of the Kuloğlu–Yaka Area and Petrographic Properties of Boyabat Metamorphites and Volcanic-Pyroclastic Rocks of Yemişliçay Formation, the Boyabat-Sinop-Turkey
Gürsel Kansun, Kansun G, Ahmad Omid Afzali, Afzali A, Gülşah Usta, Usta G
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.079
The study area is located between Kuloglu and Yaka Villages in the north of Boyabat District of Sinop Province. Paleozoic-Triassic aged Boyabat metamorphites are observed at the bottom of the study area. These metamorphites are composed of phyllite, sericite-c…
Research Article
Open Access Evaluation of Demand for Furniture Products by Web Mining
Selahattin Bardak, Bardak S, Timuçin Bardak, Bardak T
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.021
Furniture has a large share in all endstirisinde in the World and Turkey. People demand for furniture products is increasing day by day. Furniture manufacturers are curious about which furniture products are most demanded by customers. Although it is possible …
Research Article
Open Access Effect of Non-Gaussian Noise on Detection Performance of Multi-Stage Detectors
Timur Düzenli, Düzenli T, Olcay Akay, Akay O
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.105
It is well known that non-Gaussian noise deteriorates the detection performances of the conventional detection methods. This problem is also encountered in cognitive radio where impulsive structure of noise negatively affects spectrum sensing. Multistage detec…
Research Article
Open Access Determination of Furniture Trends in Different Cities Based on Twitter Data in Terms of Gender
Timuçin Bardak, Bardak T, Selahattin Bardak, Bardak S
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.020
The increase in firms in the furniture industry has made competition difficult. In this competitive environment, it is important to collect data and extract meaningful information. Every second, large amounts of data are generated on the Internet. The use of s…
Research Article
Open Access Dondurularak Kurutulan Muzun Kinetik Modeli
Bahadır Acar, Acar B, Abdullah Dağdeviren, Dağdeviren A, Mehmet Özkaymak, Özkaymak M
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.156
In this study, freeze drying (FD) technology, which is used commonly to preserve the beneficial aromas of the products by prolonging the shelf life and therefore shown as the healthiest drying method. Bananas were used as the dried product that consumes a lot …
Research Article
Open Access 3D Reconstruction of Point Clouds and Solid Models from LiDAR and Digital Stereo Images
Abu Kamara, Kamara A, Sedat Doğan, Doğan S
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.059
One of the fastest 3D data acquisition methods is LiDAR scanning technology. By using LiDAR scanners, 3D point clouds of the scanned seen is obtained easily. Although the scanning phase is fast, the meaningful and effective 3D visualization of the scene requir…
Research Article
Open Access A New Method for Diagnostics of Faults of Three-phase Squirrel Cage Asynchronous Motor
Osman Zeki Erbahan, Erbahan O, İbrahim Aliskan, Aliskan İ, Rıdvan Keskin, Keskin R
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.058
Asenkron motorlar, endüstrideki en yaygın kullanılan motorlardır. Çok avantajlı bir yapıda olduklarından üretim hatlarının her noktasında bulunurlar. Bu motorların arızalarını hızlı ve kolay bir şekilde tespit etmek arzu edilir. Bu makalede, asenkron motorları…
Research Article
Open Access Analysis of Highway Traffic Using Deep Learning Techniques / Derin Öğrenme Teknikleri Kullanılarak Anayol Trafik Analizi
Muhammet Esad Özdağ, Özdağ M, Nesrin Aydın Atasoy, Aydın Atasoy N
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.098
Traffic flow forecasting has an important place in designing a successful intelligent transportation system. The success of the forecasting is related to the accuracy and timely acquisition of the traffic flow data. The inadequacy in the number of data has led…
Research Article
Open Access Phylogenetic Analysis of Streptomyces sp. H2AK isolated from soil in Kuşadası
Demet Tatar, Tatar D, Aysel Veyisoğlu, Veyisoğlu A
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.108
Streptomyces is a genus of Gram-positive bacteria that has a filamentous form similar to fungi. Streptomyces produces bioactive secondary metabolites, such as antifungals, antivirals, antitumorals and various antibiotics (Procópio et al., 2012). The aim of thi…