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62 results for “Signal processing”

Research Article Open Access P3b amplitudes differences in ultra-rapid visual categorization task of food and non-food items
Tawhida Jahan, Jahan T
4th International Symposium on Innovative Approaches in Social, Human and Administrative Sciences 2019 https://doi.org/10.36287/setsci.4.8.003

 P300, especially P3b, the third positive peak with near 350ms associated with occipito-patieto-temporal region of the brain, is mainly responsible for categorization of different objects. So, this study investigates the nature of amplitude and reaction time d…

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,…

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 MPAA Rating Prediction Based on Deep Learning
Caner    BALIM, BALIM C, Ugur    GUREL, GUREL U
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019

The Motion Picture Association of America(MPAA) is used in the United States to rate a film's compatibility via its content. These systems evaluate ratings according to the scenes in the movies. In this work, a deep learning based classification technique is p…

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 Real-time Pedestrian Attribute Detection from Surveillance Cameras
Betül Ay, Ay B, Galip Aydin, Aydin G
International Congress on Human-Computer Interaction, Optimization and Robotic Applications 2019 https://doi.org/10.36287/setsci.4.5.002

In recent years, computer vision has taken great strides in understanding and recognition the visual scenes together with deep learning technologies. Object recognition is one of the key areas of the computer vision applications. It is mainly concerned with re…

Research Article Open Access Decomposition of a Fourth-Order Linear Time-Varying System
Mehmet Emir Koksal, Koksal M, Salisu Ibrahim, Ibrahim S
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.043

In this presentation, conditions and explicit formulas for the realization of a relaxed fourth-order linear time-varying system as a cascade connection of two commutative first and third-order systems are given. The results are supported by an example.  

Research Article Open Access Çocuklarda El ve Bilek Hareketlerini Geliştirmeye Yönelik Leap Motion Temelli Bir Mobil Oyun Tasarımı
Hikmetcan Özcan, Özcan H, Fidan Kaya, Kaya F, Mehmet Ali Altuncu, Altuncu M, Seda Kaya, Kaya S, Gamze Topuz, Topuz G, Suhap Şahin, Şahin S
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.061

Günümüzde çocukların fizik tedavilerinde;  germe, elektrik uyarısı, biofeedback, aktif eklem hareketi, kuvvetlendirme ve soğuk uygulama gibi çocuğun motor ve mental durumuna uygun tamamlayıcı uygulamalar kullanılır. Çocuklar bu tedaviler süresince çoğunlukla z…

Research Article Open Access Investigation of Effect of Communication Bandwidth and Length of Coherence Block on Energy Efficiency and Area Throughput in Massive Multiple-Input and Multiple-Output Systems
Burak Kürşat Gül, Gül B, Necmi Taşpınar, Taşpınar N
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.102

The popularity of wireless communication is increasing day by day. This has led to the fact that data transfers via GSM have reached very high levels. Data transfers via GSM, which are continuously growing, increase the density of data traffic, thus necessitat…

Research Article Open Access THE SIMULATION OF MATHAMETICAL MODEL OF OUTER ROTOR BLDC MOTOR
M. Mustafa Kelek, Kelek M, İbrahim Çelik, Çelik İ, Uğur Fidan, Fidan U, Yüksel Oğuz, Oğuz Y
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.106

In this study, mathematical modeling of outer rotor brushless direct current motor (BLCD) is performed. Brushless direct current motor is highly preferred in industrial applications when compared the other motor types with considering advantages and disadvanta…

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 Design of Ku-Band Microstrip Patch Antenna in Dual-Band by Utilizing U-Slot and Slits
Nurettin Bebek, Bebek N, 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.4.5.022

In this paper, the Ku-band rectangular microstrip patch antenna (RMPA) is intended to operate in the dual-band for satellite communication (SATCOM). The antenna which is obtained for dual-band by utilizing a U-slot and vertical slits on RMPA is fed with a micr…

Research Article Open Access An Efficient Medical Diagnosis Algorithm Based on a Hybrid Neural Network with a Variable Adaptive Momentum and PSO Algorithm
Alaa Ali  Hameed, Hameed A, Naim Ajlouni, Ajlouni N, Adem Özyavaş, Özyavaş A, Zeynep Orman, Orman Z, Ali  Güneş, Güneş A
International Congress on Human-Computer Interaction, Optimization and Robotic Applications 2019 https://doi.org/10.36287/setsci.4.5.030

Neural Network has been used in a number of scientific fields including medical diagnosis. It is clear that classification is one of the main challenges in any medical diagnosis. However, the drawbacks of conventional neural network classifier are summarized a…

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 İnsansız Hava aracı (İHA) Görüntülerindeki Nesnelerin Kapsül Ağları Kullanılarak Sınıflandırılması
Atakan  Körez  , Körez   A, Necaattin  Barışcı  , Barışcı   N
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019

Drone ya da İnsansız Hava Araçları (İHA), günümüzde birçok farklı sektör tarafından aktif şekilde kullanılmaktadır. Özellikle son yıllarda popülerlik kazanmayı başaran drone'lar; reklamcılıktan kargo taşımacılığına kadar çeşitli görevler üstlenebilmektedir. İH…

Research Article Open Access Standart ve Geliştirilen Klonal Seçim Algoritması Kullanılarak Aritmilerin Sınıflandırılması
Ziynet  Pamuk  , Pamuk   Z
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019

Bu çalışmada Yapay Bağışıklık Sistemine(YBS) dayalı Klonal Seçim Algoritması'nın (KSA) Matlab ortamında yazılımı gerçekleştirilmiştir. Ayrıca KSA'na koşul tabanlı bir yapı eklenerek geliştirilmiştir. Geliştirilen Koşul-Tabanlı Klonal Seçim Algoritması (KT-KSA)…

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 Colaboratory: Makine Öğrenmesi ve Derin Öğrenme Çalışmalarında Donanım Gereksinimini Karşılamada Alternatif Bir Çözüm
Hakan    Temiz, Temiz H, Hasan Şakir    Bilge, Bilge H, Seçkin    Uyğur, Uyğur S
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019

Yüksek hacimli verilerin makine öğrenmesi (MÖ) ve derin öğrenme (DÖ) yöntem ve teknikleri ile işlenmesi için özel tasarlanmış donanımlara ihtiyaç duyulmaktadır. Bu donanımlar ihtiyaç sahipleri açısından önemli bir maliyet unsurudur. Özelikle, araştırmacı, eğit…

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 Development of a Dual Response Optimization Model under Non-standard Experimental Design Situations
Akın Özdemir, Özdemir A
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.081

The design of experiments is a highly effective offline quality improvement method to optimize the existing and new processes or products. In the literature, standard experimental situations have been paid a lot of attention. In a number of non-standard experi…

Research Contributions (2019+)Peer reviewed by at least two reviewers
Open AccessCC BY 4.0
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