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28 results for “Prediction”

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 Kronik Böbrek Hastalığının Makine Öğrenmesi Teknikleri ile Sınıflandırılması
Mustafa İlker  ERDURSUN  , ERDURSUN   M, Hasan  ERBAY  , ERBAY   H, Ömer Faruk  AKMEŞE  , AKMEŞE   Ö, İbrahim  DOĞAN  , DOĞAN   İ
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019

Teknolojinin ilerlemesi ile birlikte birçok veri dijital ortamlarda kayıt altına alınarak büyük veri yığınları ortaya çıkmıştır. Veri madenciliği sayesinde bu büyük veri yığınlarının içinden anlamlı ve yararlı bilgilerin ortaya çıkarılması için çalışmalar yapı…

Research Article Open Access Determination Of Sediment Yield By GeoWEPP Erosion Estimation Model
Cengizhan Yıldırım, Yıldırım C, Mustafa Tüfekçioğlu, Tüfekçioğlu M
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.127

The estimation of the sediment yield for Coruh watersheds should be determined in order to calculate the lifespan of the dams that are being already build. In order to determine sediment yield, information regarding topographic situation, vegetation, climate, …

Research Article Open Access The Use of a Robust-Adaptive Self Organizing Map to Enhance the Prediction Performance of Clinical Datasets
Naim Ajlouni, Ajlouni N, Alaa Ali Hameed, Hameed A, Ali Güneş, Güneş A, Adem Özyavaş, Özyavaş A, Zeynep Orman, Orman Z
International Congress on Human-Computer Interaction, Optimization and Robotic Applications 2019 https://doi.org/10.36287/setsci.4.5.031

Prediction in the medical field is a challenging problem and as a result many researchers have used different artificial intelligent methods including conventional Self Organizing Map (SOM) to achieve this task. SOM is a specialized clustering technique that h…

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 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 Filyos Nehri’ndeki Askıda Katı Madde Miktarının Yapay Sinir Ağları İle Belirlenmesi
Berna Aksoy, Aksoy B, İsmail Hakkı Özölçer, Özölçer İ, Onur Dündar, Dündar O, Ahmet Sinan İlhan, İlhan A
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.103

Canlı varlıklar yaşamlarını sürdürebilmek için suya ihtiyaç duyarlar. Su yeryüzünde sürekli olarak bir dolanım halinde bulunmaktadır. Bu dolanım sırasında çeşitli sebeplerden dolayı suya karışan maddeler suyun özelliklerinin değişmesine sebep olur. Gerek suyun…

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 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 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 Financial Machine Learning
Veysel Yılmaz, Yılmaz V
4th International Symposium on Innovative Approaches in Social, Human and Administrative Sciences 2019 https://doi.org/10.36287/setsci.4.8.035

Machine learning and artificial intelligence have become an integral part of people's culture, influencing the lives of most people today. Machine learning is a subset of data science that uses statistical models to create insights and predictions. Machines sh…

Research Article Open Access The impact of Workplace Bullying on the efficiency of Human Resource Management: Cross-cultural studies
Aleksandra Jovanovic, Jovanovic A
4th International Symposium on Innovative Approaches in Social, Human and Administrative Sciences 2019 https://doi.org/10.36287/setsci.4.8.041

Workplace bullying is not a problem of the individual, but of the society as a whole, which causes huge losses, in terms of reduced productivity of workers, increased expenditures in health care (due to frequent sick leave) and pension insurance (due to early …

Research Article Open Access Koroner Arter Hastalığı (KAH) Olan Bireylerde Yorgunluk ve Uyku Kalitesinin Değerlendirilmesi
Mukadder Mollaoğu, Mollaoğu M, Safiye Yanmış, Yanmış S
4th International Symposium on Innovative Approaches in Health and Sports Sciences 2019 https://doi.org/10.36287/setsci.4.9.050

Bu araştırma Koroner Arter Hastalığı(KAH) olan bireylerde yorgunluk ve uyku kalitesinin değerlendirilmesi amacıyla yapılmıştır. Araştırma, bir üniversite hastanesinin kardiyoloji kliniğinde Haziran-Eylül 2019 tarihleri arasında yapılmıştır. Araştırmada örnekle…

Research Article Open Access The Effects of Forest Roads On Sediment Transport
Erhan Çalışkan, Çalışkan E
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.025

Sediment can be composed of all road elements. On soil roads, road surface erosion is generally the predominant source of sediment. The multifaceted impact of forest road construction on the environment is always a serious issue in terms of watershed managemen…

Research Article Open Access Assessment of University Perception Based on Twitter Data
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.4.6.077

Universities play a key role in the cultural and economic development of countries. It also provides necessary and useful information to the community. Industry university collaborations are essential for the emergence and diffusion of innovations. For these r…

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 Article Open Access A Weighted Mean-Squared Error Optimization Model with both Controllable and Noise Input Variables for a Cuboidal Design Region
Akın Özdemir, Özdemir A
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.082

A central composite design is a good choice for a spherical design region while providing high-quality predictions over the entire spherical design region. However, this design requires design variable settings outside the range of the design variables in the …

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 Meme Histopatoloji Görüntülerinin Derin Öğrenme Yöntemleri İle Sınıflandırılması
Meral Karakurt, Karakurt M, İsmail İşeri, İşeri İ
International Congress on Human-Computer Interaction, Optimization and Robotic Applications 2019 https://doi.org/10.36287/setsci.4.5.019

Kanser, insan ölümlerine sebep olan hastalıklar arasında ikinci sırada gelmektedir. Günümüzde insanların kansere yakalanma oranları giderek artmaktadır. Kanser; kötü beslenme, sigara ve alkol kullanımı, uzun süre güneş ışığına maruz kalma gibi birçok nedenle o…

Research Article Open Access Smart City Prediction For The City of Izmir Using Fuzzy Logic
Hamit Gökay Meriç, Meriç H, Tuğçe Ertan Meriç, Meriç T
International Congress on Human-Computer Interaction, Optimization and Robotic Applications 2019 https://doi.org/10.36287/setsci.4.5.034

There is a global high demand for creating smart cities due to the increasing population of the world and lack of natural resources. There are six stated criteria in order to be eligible to become a smart city, which are directly related to governance, economy…

Research Contributions (2019+)Peer reviewed by at least two reviewers
Open AccessCC BY 4.0
Open Discovery Metadata · DOI · OAI-PMH
Global Reachresearchers worldwide