350 results for “thermal performance”
Research Article
Open Access Girişimsel Pazarlamanın Uluslararasılaşma Stratejisi Üzerindeki Etkisi: Sivas İli İhracat Yapan İşletmeler Uygulaması
Mualla Akçadağ, Akçadağ M, Ömer Ellibeş, Ellibeş Ö
4th International Symposium on Innovative Approaches in Social, Human and Administrative Sciences 2019 https://doi.org/10.36287/setsci.4.8.028
İş yaşamında gerçekleşen gelişmeler sayesinde işletmeler müşteri odaklı, rekabet odaklı ve çevresel faktörleri ön plana çıkaran anlayış ile faaliyetlerini gerçekleştirmektedirler. Girişimsel pazarlamayı bu boyutların yanı sıra değişen çevresel koşullara hızlı…
Research Article
Open Access Design of a PID Controller with Fractional Order Derivative Filter for Automatic Voltage Regulation in Power Systems
Erdinç Şahin, Şahin E
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.013
In this study, a PID controller with fractional order derivative filter (PIDFF) is designed for automatic voltage regulation (AVR) in power systems. In order to ensure maximum transient and steady state performance from the designed controller, the controller …
Research Article
Open Access Dizel Motorlarında Zararlı Egzoz Emisyonlarının Azaltılmasının Araştırılması
Zeynep İlkılıç Aytaç, İlkılıç Aytaç Z, Cumali İlkılıç, İlkılıç C
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.148
Dünyada enerji üretimi yapılan her yerde havayı kirleten maddeler atmosfere atılmaktadır. Özellikle yakma sistemlerinin baca ve egzozlarından çevreye yayılan bu kirleticiler insan sağlığını ve canlıların hayat şartlarını olumsuz yönde etkilemektedir. Yapılan b…
Research Article
Open Access The Investigation of Magnetic Levitation Performance of Bis (2-methoxy- 4-allylphenyl) Oxalate (I) (C22H22O6) Doped MgB2 Bulk Superconductor
Burcu Savaşkan, Savaşkan B, Sait Barış Güner, Güner S, Günay Kantar, Kantar G
2nd International Symposium on Innovative Approaches in Scientific Studies 2018
In this work, the effects of bis (2-methoxy-4-allylphenyl) oxalate (I) on levitation (Fz) and lateral forces (Fx) of bulk
MgB2 superconductor has been investigated and reported for the first time. All samples were prepared from magnesium powder
(Mg, 99.8 %),…
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 Numerical Simulation of A Cavitating Centrifugal Pump
Aydın Hacı Dönmez, Dönmez A, Zehra Yumurtacı, Yumurtacı Z, Levent Kavurmacıoğlu, Kavurmacıoğlu L
Ist International Symposium on Innovative Approaches in Scientific Studies 2018
Current study is related with numerical simulation of a centrifugal pump impeller with the specific speed of nq=13. By the help of computational fluid dynamics (CFD) at different operating points, pump performance rsults (Head-Discharge graph) are obtained. Si…
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 Brain Tumor Classification Using Fine-Tuned Transfer Learning
Mustafa Suban Dut, Dut M, Meriç Çetin, Çetin M
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.10.001
Brain tumor is a progressive disease that significantly affects human life. These diseases can reduce the quality of life by causing losses in motor and cognitive functions. Since the chance of treatment decreases when not diagnosed early, advanced technologie…
Research Article
Open Access Energy Loss and Panel Fault Detection in Solar photovoltaic Systems Using Extreme Gradient Boosting algorithm
Fatma Zehra Kardas, Kardas F, Adem Atmaca, Atmaca A
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.59.001
Solar photovoltaic (PV) systems are widely adopted for sustainable energy production; however, physical defects such as glass breakage significantly reduce panel efficiency and system output. In this study, a real-world case analysis was conducted on a 1003 kW…
Research Article
Open Access Multilingual Sentiment Analysis for Mobile Gaming: A Comparative Study of Machine Learning and Hybrid Deep Learning Approaches
Erol Kına, Kına E, Recep Özdağ, Özdağ R
International Trend of Tech Symposium 2024 https://doi.org/10.36287/setsci.21.1.001
The rapid expansion of the mobile gaming industry has underscored the need to understand user sentiment, with social media platforms like X (Twitter) providing key insights. This study applied sentiment analysis to English and Turkish tweets, utilizing the TEM…
Research Article
Open Access Comparative Analysis of YOLOv5, YOLOv4, and SSD for Aircraft Detection in Airport Environments Using Remote Sensing Data
Hana Marie Marek, Marek H, Kvetoslav J. Kostelnikova, Kostelnikova K, Melis Duhter, Duhter M, Akif Mert Korol, Korol A, Hilal Kuzu, Kuzu H
International Trend of Tech Symposium 2024 https://doi.org/10.36287/setsci.21.4.018
Accurate and efficient detection of aircraft at airports is crucial for enhancing airport security, ensuring safe operations, and improving overall air traffic management. As airports grow in complexity and traffic density increases, automated object detection…
Research Article
Open Access Improving Computational Performance of Least Squares Multiple Birth Support Vector Machines with k-Means Clustering
Güvenç Arslan, Arslan G, Nisa Nur Bülbül, Bülbül N
Cognitive Models and Artificial Intelligence Conference 2023 https://doi.org/10.36287/setsci.6.1.010
Multiple Birth Support Vector Machines (MB-SVM) were introduced as a powerful extension of SVM. Although the basic idea is like SVM, optimal non-parallel hyperplanes are used for each class category. One may find different implementations of this approach in t…
Research Article
Open Access Face Mask Detection Using Deep Learning For Public Places
Asmaallah FALLAHA, FALLAHA A, Mohamad Taj Eddin ASHOUR, ASHOUR M, Dala KRAYEM, KRAYEM D, Saed ALQARALEH, ALQARALEH S
Proceedings of the 6th International Symposium on Innovative Approaches in Smart Technologies 2022 https://doi.org/10.36287/setsci.5.2.004
Over the past century, before and after the pandemic of COVID-19, workers in multiple sectors, such as medical, chemical, and nuclear, have been required to wear face masks during duties. However, physical 24/7 supervision is nearly impossible in public places…
Research Article
Open Access CNN Hyperparameters Optimization Using Random Search For Image Classification
Dala KRAYEM, KRAYEM D, Asmaallah FALLAHA, FALLAHA A, Mohamad Taj Eddin ASHOUR, ASHOUR M, Saed ALQARALEH, ALQARALEH S
Proceedings of the 6th International Symposium on Innovative Approaches in Smart Technologies 2022 https://doi.org/10.36287/setsci.5.2.007
In the last decade, deep learning in general and Convolutional Neural Networks (CNN) have achieved a human level and outstanding performance in almost all computer-based systems such as classification(text, images, and videos). Building an efficient CNN archit…
Research Article
Open Access Açık Uçlu Soruların Çok Yüzeyli Rasch Modeli ile Analizi
Şirin Çetin, Çetin Ş
4th International Symposium on Innovative Approaches in Health and Sports Sciences 2019 https://doi.org/10.36287/setsci.4.9.067
Sınavlarda ölçme aracı olarak kullanılan açık uçlu sorulardan oluşan sınavlarda yansız puanlama önemlidir. Açık uçlu sorular, öğrencilere kendilerini özgür bir biçimde ifade etme olanağı sunmakta ve çeşitli becerilerin farkındalığına imkân sunmaktadır. Ayrıca …
Research Article
Open Access PID Parameter Optimization By Using Ant Colony And Cuckoo Algorithms For Boost Converter
Önder Civelek, Civelek Ö, Metin Tüysüz, Tüysüz M, Mustafa Şinasi Ayas, Ayas M
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.069
One of the most well-known and easy-to-design converter of DC-DC converters is DC-DC Boost converter. DC-DC boost converters are widely utilized in industrial applications. Therefore, output voltage regulation of the boost converter is a popular issue that res…
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 Performance Comparison of Carotid Artery Intima Media Thickness Classification by Deep Learning Methods
Serkan Savaş, Savaş S, Nurettin Topaloğlu, Topaloğlu N, Ömer Kazcı, Kazcı Ö, Pınar Nercis Koşar, Koşar P
International Congress on Human-Computer Interaction, Optimization and Robotic Applications 2019 https://doi.org/10.36287/setsci.4.5.025
Deep learning is a machine learning sub-field that uses deep neural networks. Instead of customized algorithms for each study in this field, it is aimed to cover the wider data set of solutions based on learning the data. Deep learning is a promising approach …
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 Modelling and Controller Design for Ball and Beam System
O. Tolga Altinoz, Altinoz O, A. Egemen Yilmaz, Yilmaz A
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019
Ball and beam system is an experimental set for control system design that the position of the ball on a beam is changed with respect to the reference direction by changing the angle of the beam. The PID controller is applied to this problem. The performance o…