129 results for “Support Vector Regression”
Research Article
Open Access Otel Çalışanlarının İş Becerikliliği ve Polikronisite Eğilimlerinin İşten Ayrılma Niyetleri Üzerine Etkisi
Ali Dalgıç, Dalgıç A, Nuray Türkoğlu, Türkoğlu N
2nd International Symposium on Innovative Approaches in Scientific Studies 2018
Otel işletmelerinde çalışanların kişisel özellikleri bireysel ve örgütsel çıktılarını doğrudan etkilemektedir. Çalışanların
işlerini kendi özelliklerine göre şekillendirmesi ve aynı zaman diliminde birden fazla iş yapma özelliklerinin olması iş
performanslar…
Research Article
Open Access Determination of Dimensions in Wooden Reel Production: A Decision Support Model
Erkan Sami Kökten, Kökten E, Çağrı Sel, Sel Ç
Ist International Symposium on Innovative Approaches in Scientific Studies 2018
Wooden reels are wood-based products used in products requiring winding up such as cable, rope, plastic hose. Wooden reels are usually produced in diameters ranging from 40 to 320 cm and mostly from Turkish red pine (Pinus brutia) and black pine (Pinus nigra) …
Research Article
Open Access A RESEARCH ON DETERMINING THE MEDIATING ROLE OF ORGANIZATIONAL SERVICE ORIENTATION IN THE EFFECT OF INTERNAL MARKETING PRACTICES ON ORGANIZATIONAL COMMITMENT
Ebru Sönmez Karapınar, Sönmez Karapınar E, Yasemin Kaya Harmancı, Kaya Harmancı Y
Ist International Symposium on Innovative Approaches in Scientific Studies 2018
Internal marketing includes activities that enable human resource management practices such as attracting,
developing, motivating and retaining talented personnel to provide external customer satisfaction, as well as activities that
provide internal customer…
Research Article
Open Access Stock Portfolio Selection with Supervised Classification
Hasan Taş, Taş H, Esra Karasakal, Karasakal E
Proceeding of the Cognitive Models and Artificial Intelligence Conference 2024 https://doi.org/10.36287/setsci.17.1.0025
This study employs a supervised learning approach for the Stock Portfolio Selection (SPS) problem. The proposed approach solves three problems defined in the literature review: the narrow period selection problem, the proper objective selection problem, and th…
Research Article
Open Access Intrusion detection system using Optimized Machine Learning Algorithms for cyberattacks in the Internet of Vehicles (IoV)
Mamadou Korka Diallo, Diallo M, Oğuzhan Karahan, Karahan O
Proceeding of the Cognitive Models and Artificial Intelligence Conference 2024 https://doi.org/10.36287/setsci.17.1.0013
The Internet of Vehicles (IoV) is a branch of the Internet of Things that deals with vehicle-to-vehicle communication and intelligent transport systems (ITS). But this connection is not without consequences, because the more a system exchanges information, the…
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 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 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 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 Faults Detection with Image Processing Methods in Textile Sector
Umut Özkaya, Özkaya U, Şaban Öztürk, Öztürk Ş, Kubilay Tuna, Tuna K, Levent Seyfi, Seyfi L, Bayram Akdemir, Akdemir B
Ist International Symposium on Innovative Approaches in Scientific Studies 2018
The quality control process for determining fabric faults causes high cost and time loss when performed with human eyes. Adding a real-time system to the fabric production mechanisms is very difficult to detect mistakes. In this study, 5 MP Raspberry Pi camera…
Research Article
Open Access Structured Deep Learning Supported with Point Cloud for 3D Human Pose Estimation
Erdal Özbay, Özbay E, Ahmet Çınar, Çınar A, Zafer Güler, Güler Z
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017
In this paper, a structural-output is obtained to estimate 3D human pose using 3D human point cloud and monocular images. The Neural Network takes a human image and 3D pose as inputs and gives outputs a score value. Conditional Random Field (CRF) approach is u…
Research Article
Open Access BIM Cost Management: ROI on BIM Implemented Projects in the Construction Industry
Mustafa Nabi Kocakaya, Kocakaya M, Yasin Celik, Celik Y, Omer Giran, Giran O, Osman Hurol Turkakin, Turkakin O
7th International Symposium on Innovation in Architecture, Planning and Design 2025 https://doi.org/10.36287/setsci.23.54.001
This study investigates the return on investment (ROI) of Building Information Modelling (BIM) in the construction industry and addresses common barriers to its adoption such as high start-up costs and lack of familiarity with the technology. Despite its prove…
Research Article
Open Access Industry 4.0 Driven Risk Management for Climate Resilient Smart Cities A Hybrid Framework for Southeastern Türkiye
Mehmet Fatih Kendirci, Kendirci M, Aydın Oğuz, Oğuz A, Osman Hansu, Hansu O
7th International Symposium on Innovation in Architecture, Planning and Design 2025 https://doi.org/10.36287/setsci.23.116.001
This study presents a Hybrid Digital-Physical Risk Management Framework designed to enhance urban climate resilience through the integration of Industry 4.0 technologies. By combining real-time IoT sensor networks, AI-based predictive analytics, and blockchain…
Research Article
Open Access An AI-Driven Drone-Integrated Mobile Photobioreactor System: A Novel Approach to Atmospheric Carbon Sequestration and Oxygen Emission
Betül Güroy, Güroy B
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.31.001
A universally applicable “optimal photobioreactor” design has yet to be established, as the success of such systems varies depending on the algal species used, environmental conditions, and intended applications. Meanwhile, the accelerating pace of climate cha…
Research Article
Open Access Design of Operating Routes of Wave Energy Powered Electric Cargo Ships in Red Sea
Mahmoud Hassan Onsa, Onsa M, Mohammed Osman Elsadig, Elsadig M
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.049
A theoretical design assessment performed here to evaluate the idea of utilizing wave energy in the Red sea to power electric-cargo ships, in the route between Port Sudan and Jeddah Islamic port. The calculated mean wave power in 2018 was (1.4 MW), five wave p…
Research Article
Open Access İŞLETMELERDE ALGILANAN KURUMSALLIK VE ÖRGÜT DÜZEYİNİN ERP KRİTİK BAŞARI FAKTÖRLERİ ÜZERİNE ETKİSİ
Hakan Özen, Özen H, Bülent Sezen, Sezen B
2nd International Symposium on Innovative Approaches in Scientific Studies 2018
Çağımızda hızla gelişen teknoloji ve bilgi sistemlerinin birbiri ile entegrasyonu, işletmelere rekabet ortamında varlıklarını
sürdürebilme ve gelişme imkanı sağlamaktadır. Bilgi teknoloji sistemlerinden yararlanma yöntemlerinden biri olan Kurumsal
Kaynak Pla…
Research Article
Open Access A Comparative Evaluation of Interpolation and Generative Oversampling Techniques for Predictive Maintenance
Abdazeez Atere, Atere A, Hasan Kivrak, Kivrak H
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.21.001
Predictive maintenance (PdM) enhances industrial operational efficiency by facilitating timely detection of equipment failures using machine learning models developed from historical maintenance data. Real-world industrial datasets frequently exhibit signific…
Research Article
Open Access Deep Learning Approaches for Lung Cancer Classification: A Comparative Study of Multiple Model Architectures
Ayşe Nur Durmaz, Durmaz A, Nihan Özbaltan, Özbaltan N
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.41.001
Early detection of lung cancer remains a critical challenge in medical imaging, where accurate classification between benign and malignant pulmonary nodules can significantly impact patient outcomes. This study presents a comprehensive comparative analysis of …