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100 results for “Metaheuristic algorithms”

Research Article Open Access Akıllı Binalarda Konfor Faktörü ve Optimizasyonu
Nevin Irak, Irak N, Ercan Nurcan Yılmaz, Yılmaz E
International Congress on Human-Computer Interaction, Optimization and Robotic Applications 2019 https://doi.org/10.36287/setsci.4.5.027

Enerji verimliliği alanındaki çalışmalar hız kesmeden artarken insanların konfor beklentileri de her geçen gün daha fazla yükselmektedir. Bununla birlikte, akıllı binaların sayısı da teknolojik gelişmelere paralel olarak artmaktadır. Günümüzde akıllı binalar h…

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 Kaydırma Biyometriği ile Kişilerin Doğrulaması için Çekirdek Fisher Ayırtacına Dayalı Yeni Bir Yaklaşım
Orhan Sivaz, Sivaz O, Murat Aykut, Aykut M
International Congress on Human-Computer Interaction, Optimization and Robotic Applications 2019 https://doi.org/10.36287/setsci.4.5.036

Son yıllarda bilgi güvenliğini sağlamada biyometrik doğrulama sistemlerinin kullanımı yaygınlaşmış ve farklı biyometrikler ortaya atılmıştır. Çalışmamızda dokunmatik ekran üzerinde yapılan hareketlerden kaydırma hareketine bağlı olarak kişilerin ayırt edilmesi…

Research Article Open Access Simple and Accurate Bias and Variance Expressions of Some Instantaneous Frequency Estimators including the DESAs
Sewim Hazal   Uz , Uz  S, Erdoğan  Dilaveroğlu  , Dilaveroğlu   E
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019

Instantaneous estimation of the frequency of a real sinusoid in noise from a small number of data samples is an important problem in the signal processing area. Several frequency estimators are proposed for this problem in the literature. In this paper, some o…

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 A Data Analysis and Behavior Model for Study of Consumer Service in the Financial Sector
Sultan  Tatlılıoğlu  , Tatlılıoğlu   S, Dionysis  Goularas  , Goularas   D
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019

In recent years, the financial sector has been considerably developed, especially in electronic banking. As individual users in the financial sector use e-banking and e-finance systems, the concept of loyalty in the banking sector has shifted from traditional …

Research Article Open Access Gait Recognition using RGB-D Camera for Player Labeling
Yilmaz Atay, Atay Y, Agusta    Wicaksono, Wicaksono A, Ahmet  Arslan  , Arslan   A
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019

The identification of the 3-dimensional physical properties of humans has recently become a very important field of study. In this respect, today's applications and research use depth cameras such as Kinect as an input tool for identification of quantitative c…

Research Article Open Access Yeni Nesil Telsiz İletişim Sistemleri için Alternatif Modülasyon Adayları: F-QAM ve F-PSK
Birhan Mert  Güney  , Güney   B, Furkan  Durukan  , Durukan   F, Ali  Özen  , Özen   A
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019

Bu bildiride, 5. Nesil (5th Generation, 5G) haberleşme sistemlerine aday modülasyon yöntemlerinden F-QAM ve FPSK modülasyonları incelenmektedir. F-QAM ve F-PSK modülasyonlarının tek taşıyıcılı haberleşme sistemlerinin başarımı üzerine etkileri incelenmektedir.…

Research Article Open Access Karar Ağacı Algoritmalarıyla Öğrencilerin Akademik Performans Verilerinin Sınıflandırılması
Büşra  Duygu, Duygu B, Nursal Arıcı, Arıcı N
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019

Eğitim sektörünün giderek büyüyen yapısında, yükseköğretim kurumları, öğrenci performansının akademik olarak iyileştirilmesi ve öğrencilerin okulu bırakmalarını önlemek için veri madenciliği araçlarını ve tekniklerini kullanmaktadır. Veriler sosyo-ekonomik, de…

Research Article Open Access Kapasite Kısıtlı Araç Rotalama Problemi için Melez Bir Algoritma
Bilal  BABAYIGIT  , BABAYIGIT   B, Kadir  YILDIZ  , YILDIZ   K
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019

Son yıllarda yaşanan ekonomik daralma sonucunda üretim maliyetlerini azaltmak ve kar marjlarını arttırmak firmalar için önemli bir hedef haline gelmiştir. Özellikle lojistik ve dağıtım şirketlerinin operasyonel işlemleri araç rotalama problemi olarak ele alına…

Research Article Open Access Object Recognition System Based on Oriented FAST and Rotated BRIEF
Majeed A. Mohsin  ABDULMAJEED, ABDULMAJEED M, Levent Seyfi, Seyfi L
2nd International Symposium on Innovative Approaches in Scientific Studies 2018

Over the last few years, object recognition systems take the researchers' attention. The revolution in the artificial intelligence and computer vision systems and algorithms drives to numerous approaches. In this research, we are presenting an object recogni…

Research Article Open Access Economic Power Flow and Active Power Loss Minimization in Multiterminal HVDC Systems using Artificial Bee Colony Algorithm
Faruk Yalçın, Yalçın F, Uğur Arifoğlu, Arifoğlu U
Ist International Symposium on Innovative Approaches in Scientific Studies 2018

Optimal operation of the power systems is very important. In this paper, a new approach for both the economic active power flow and active power loss minimization in multi-terminal HVDC systems is proposed. In the proposed optimization approach, system constra…

Research Article Open Access Optimal Active Power Flow Solution in Multi-terminal AC-DC Systems through Artificial Bee Colony Algorithm
Faruk Yalçın, Yalçın F, Sezgin Kaçar, Kaçar S, Uğur Arifoğlu, Arifoğlu U
Ist International Symposium on Innovative Approaches in Scientific Studies 2018

This paper presents a different approach for the optimal active power flow solution in multi-terminal AC-DC systems to minimize total active power generation cost. System constraints for all of the control and state variables of both AC and DC systems are also…

Research Article Open Access Optimal Reactive Power Flow and Economic Power Dispatch in Multiterminal AC-DC Systems based on Genetic Algorithm
Faruk Yalçın, Yalçın F, Uğur Arifoğlu, Arifoğlu U
Ist International Symposium on Innovative Approaches in Scientific Studies 2018

Optimal reactive power flow and economic power dispatch is very important in power systems. Optimal reactive power flow provides minimum active power loss and economic power dispatch provides minimum active power generation cost in power systems. This study pr…

Research Article Open Access Design of “Deep Learning Controller”
Köksal Erentürk, Erentürk K, Saliha Erentürk, Erentürk S
Ist International Symposium on Innovative Approaches in Scientific Studies 2018

Deep learning allows computational models of multiple processing layers to learn and represent data with multiple levels of abstraction mimicking how the brain perceives and understands multimodal information, thus implicitly capturing intricate structures of …

Research Article Open Access Bilişsel Radyo Ağlarında Spektrum Algılama için Çevrimiçi Öğrenme Algoritmasına Dayalı Optimum Eşik Modeli
Kenan Koçkaya, Koçkaya K, İbrahim Develi, Develi İ
Ist International Symposium on Innovative Approaches in Scientific Studies 2018

Bilişsel radyo kullanılmayan ya da az kullanılan spektrum bantlarına dinamik olarak erişim olanağı sağlayan ve kullanıcılar arasında herhangi bir olumsuzluğa neden olmadan spektrum paylaşımını gerçekleştiren yazılım tabanlı bir teknolojidir. Kablosuz haberleşm…

Research Article Open Access Eşikleme Tekniklerinin Renk Uzayı Tabanlı Kümeleme Yönteminin Başarısına Etkisi
Mahmut Kılıçaslan, Kılıçaslan M, Ufuk Tanyeri, Tanyeri U, Mürsel Ozan İncetaş, İncetaş M, Burcu Yakışır Girgin, Yakışır Girgin B, Recep Demirci, Demirci R
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017

Eşikleme yöntemleri kenar belirleme, bölütleme ve kümeleme yaklaşımlarında sıklıkla kullanılmaktadır. Söz konusu teknikler yardımıyla renk kanallarından çeşitli sayıda kümeler elde edilebilir. Ancak, hangi yaklaşımın daha başarılı olduğu konusu belirsizliğini …

Research Article Open Access Eşik Seçiminin Benzerliğe Dayalı Kenar Belirlemeye Etkisi
Mürsel Ozan İncetaş, İncetaş M, Ufuk Tanyeri, Tanyeri U, Mahmut Kılıçaslan, Kılıçaslan M, Burcu Yakışır Girgin, Yakışır Girgin B, Recep Demirci, Demirci R
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017

Görüntüde yer alan nesnelerin kenarlarının belirlenmesi, görüntü işleme alanında önemli bir yer tutmaktadır. Piksellerin, komşu oldukları piksellere benzerlikleri de kenar belirleme amacıyla kullanılmaktadır. Ancak elde edilen benzerlik değerlerine göre kenar …

Research Article Open Access Research and Future Trends on Cognitive Radio
Göksel Can, Can G, Ahmet Turgut Tuncer, Tuncer A
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017

Increasing in wireless communications systems is caused to increase in the need of the frequency spectrum. CR (Cognitive Radio) measure or sense frequency spectrum activities on spectrum bands whether they are idle or used by licensed users. According to sensi…

Research Article Open Access Image enhancement by using Hybrid methods based on Artificial Neural Networks
Gülhan Ustabaş Kaya, Kaya G, Zehra Saraç, Saraç Z
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017

In this study, the elimination of zero diffraction order and twin image from three dimensional reconstructed images in digital holography and the image enhancement are desired to achieve in a short time by using hybrid methods. In addition, the brightness of t…

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