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87 results for “Machine learning”

Research Article Open Access Derin Öğrenme-Tabanlı Optimum Eşik Değeri ile Cihazdan Cihaza İşbirlikli İletişim Sistemlerinin Hata Başarımının İyileştirilmesi
Emre Çakar, Çakar E, Ahmet Emir, Emir A, Ferdi Kara, Kara F, Hakan Kaya, Kaya H
International Congress on Human-Computer Interaction, Optimization and Robotic Applications 2019 https://doi.org/10.36287/setsci.4.5.001

Makine öğrenmesi teknikleri, hesaplama hızları, başarımları ve tam bilgiye sahip olunmayan durumlarda bile sunduğu çözümler sayesinde birçok mühendislik problemleri için vazgeçilmez bir araç haline gelmiştir. Tüm mühendislik alanlarında olduğu gibi, kablosuz i…

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 İnşaat Mühendisliği Öğrencilerinin Teknik İngilizce Terimler Öğrenmesine Yönelik Bir Uygulama: “Her Gün 5 İngilizce Teknik Terim”
Latif Onur  Uğur  , Uğur   L
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019

Bugün Fen ve Mühendislik Bilimlerinde de İngilizce dili, geçer akçe olmak özelliğini sürdürmektedir. Bu durum özellikle İnşaat Mühendisliği ve Mimarlık gibi dallarda daha da belirgindir. İnşaat Mühendisliği öğrenimi, uygulamaları, gelişimi esnasında diğer dill…

Research Article Open Access İç Mekan Konumlandırma Yöntemleri
Hatice Arslantaş, Arslantaş H, Selçuk Ökden, Ökden S
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.116

21. yüzyıldan itibaren teknolojideki gelişmeler sayesinde konum tabanlı sistemler giderek yaygınlaşmaya başlamıştır. Uydu tabanlı konumlandırma sistemleri, uydulardan gelen sinyallerin zayıf şiddette olması sebebi ile bina içine nüfuz edemez. Bir iç ortam konu…

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…

Abstract Only Open Access Takım Çeliği İşlenmesi Sırasında Kesme Parametrelerin Kesme Kuvveti ve yüzey pürüzlülüğü Etkileri
Abdulmecit  GÜLDAŞ  , GÜLDAŞ   A, Peiman  BAGHERI  , BAGHERI   P, Hakan  DILIPAK  , DILIPAK   H
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019

Gerçekleştirilen bu çalışmada, CNC dik işleme tezgâhında kesme parametrelerinin iş parçası yüzey pürüzlülüğü ve kesme kuvvetin üzerine etkileri incelenmiştir. Deneyler 1.5 mm sabit talaş derinliği, üç farklı kesme hızı (90, 120 ve 150 mm/min) ve üç farklı iler…

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 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 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 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 Internet of Things and Agricultural Applications
Ali Çaylı, Çaylı A
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019

The increasing world population has increased the demand for food. Many threats such as agricultural land use, environmental impacts, global warming and drought risks necessitate industrialization of agricultural production and optimum utilization of existing …

Research Article Open Access Supplier Selection Application with Fuzzy AHP in Machine Manufacturing Factory
Tülay Korkusuz Polat, Korkusuz Polat T, Özgenur Kaçmaz, Kaçmaz Ö
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.017

In the manufacturing sector, as in other sectors, it is very important to be able to calculate the cost of the product and therefore to work towards reducing the cost. When calculating the cost of the product, perhaps one of the most important items is the cos…

Research Article Open Access Dual-Resource Constrained Flexible Job Shop Scheduling Problem with Weighted Superposition Attraction Algorithm
Fatma Selen MADENOĞLU, MADENOĞLU F, Adil BAYKASOĞLU, BAYKASOĞLU A
International Congress on Human-Computer Interaction, Optimization and Robotic Applications 2019 https://doi.org/10.36287/setsci.4.5.033

Flexible job shop scheduling problem (FJSSP) contains two sub-problems, that is, routing and scheduling. Each operation is assigned to a machine among a set of alternative machines in the routing sub-problem, whereas the assigned operations on all machines are…

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 Sosyal Medya Uygulamalarında Kullanıcı Yorumlarının Metin Madenciliği ile Sınıflandırılması
Emre Dandıl, Dandıl E, Burhan Karakurt, Karakurt B
International Congress on Human-Computer Interaction, Optimization and Robotic Applications 2019 https://doi.org/10.36287/setsci.4.5.040

Sosyal medya kullanımı günümüzde insanlar için önemli bir günlük aktivite olmuştur. İnsan yaşamının odak noktalarından birisi haline gelen sosyal medya hem bir kişisel ihtiyaç olarak kullanılmakta hem de insanların eğlence gereksinimleri karşılamaktadır. Bu ça…

Research Article Open Access GAUSS FONKSİYONLARI İLE PENCERELENMİŞ POLİNOM AKTİVASYON FONKSİYONU KULLANAN DALGACIK SİNİR AĞI İLE YAPAY SİNİR AĞLARININ, ÇOK KISA VADELİ RÜZGAR HIZI TAHMİNİNDE, TAHMİN BAŞARIMLARININ KARŞILAŞTIRILMASI
Serkan    Şenkal, Şenkal S, Cem    Emeksiz, Emeksiz C
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019

Fosil bazlı yakıtların giderek ömrünü tamamladığı dünyamızda alternatif enerji kaynaklarının önemi hızla artmaktadır. Bir alternatif enerji şekli olan rüzgar enerjisinde, rüzgar türbinleri kurulu olduğu alanın sadece %1’ini işgal etmesi ve kurulduğu kırsal ala…

Abstract Only Open Access Mevsimsel Otoregresif Entegre Hareketli Ortalama Yöntemi ve Destek Vektör Regresyon Yönetimi ile Talep Tahmini: Bir Tatlı Firmasının Gelecek Dönemlerdeki Lokum Üretim Miktarının Tahmini
Hamid  Einilo  , Einilo   H, Fatih Emre  Boran  , Boran   F
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019

Günümüzde globalleşme ile işletmeler arasında oluşan rekabet artmakta, işletmelerin bu rekabette bir adım öne geçmesi yürütmüş olduğu önemli faaliyetlerde stratejik kararlar almalarına bağlıdır. Özellikle ürün üreten işletmelerde üretim planlama, satış pazarla…

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