223 results for “Machine learning”
Research Article
Open Access Tarihi Yapıya Çağdaş Ek Tasarımında Yapay Zeka Kullanım Potansiyelleri
Ayşegül Sarıkaya, Sarıkaya A, İlknur Acar Ata, Acar Ata İ
7th International Symposium on Innovation in Architecture, Planning and Design 2025 https://doi.org/10.36287/setsci.23.78.001
Yapay zeka (YZ), tasarım sürecinden karar destek sistemlerine, maliyet analizinden malzeme tespitine kadar pek çok alanda kullanılmakta; tarihi yapılarda ise malzeme bozulmalarının tespiti, restorasyon süreçlerinin iyileştirilmesi ve kültürel varlıkların belge…
Research Article
Open Access Comparison Of Machine Learning Methods In Predıctive Maintenance Applications Of Electric Motors
Berk Kahyaoğlu, Kahyaoğlu B, Nuri Berkcan Sarıel, Sarıel N, Erdinç Berkin Konca, Konca E
Proceedings of the 6th International Symposium on Innovative Approaches in Smart Technologies 2022 https://doi.org/10.36287/setsci.5.2.010
Three-phase asynchronous motors are widely used in many areas of industry. Unplanned malfunctions in the motor can cause the entire system to become inefficient. Detecting and intervening the malfunctions before they grow has a direct impact on the life of the…
Research Article
Open Access A New Convolutional Neural Network Model for Skin Cancer Detection in Dermatoscopic Images
Mustafa Furkan Keskenler, Keskenler M, Deniz Dal, Dal D
Cognitive Models and Artificial Intelligence Conference 2023 https://doi.org/10.36287/setsci.6.1.006
Skin cancer is the abnormal growth of skin cells and one of the most common cancers of all. There are several types of skin cancer. Melanoma, a form of skin cancer, has increased 237% in Turkey in the last 30 years. While the U.S. adds about one million new ca…
Research Article
Open Access Optimization of Surface Roughness in Turning of 1.2344 Hot Work Tool Steel
Barış Özlü, Özlü B, Mahir Akgün, Akgün M, Hasan Basri Ulaş, Ulaş H, Halil Demir, Demir H
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017
In the present study, the effects of cutting parameters on surface roughness were investigated in order to determine the optimum machining conditions for the hot work tool steel (155 HB), which is an important part of the mold industry. For this purpose, the m…
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 Determination of Percentile Sunlit Time of a Rooftop using the VI-Suite
Hakan Aydoğan, Aydoğan H, Mehmet Feyzi Özsoy, Özsoy M
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017
The aim of this study is to determine instantaneous irradiance and annual percentile sunlit time on the available rooftop floor area of Technical and Social Science Vocational School at Usak University by simulation using open source software. The building of …
Research Article
Open Access Study of FPGA – Based Spiking Neural Networks: Classification Implementation
Mehmet Sinan Çınaroğlu, Çınaroğlu M, Erol Seke, Seke E
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.26.001
With the help of ability to imitate the biological nervous system, Spiking Neural Networks (SNNs) architectures have become popular recently. In order to benefit at the maximum level from the low power consumption, event-based structure and parallelization fea…
Research Article
Open Access Accurate and Scalable Object Detection for Smart Warehousing Using YOLOv8 and Residual CNNs
Iman Elawady, Elawady I, Abdulrahman Al Homsi, Homsi A, Omer Ahmed Mohamed Ahmed, Ahmed O
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.51.001
Robust object detection and classification in dynamic industrial scenarios is still a challenge, in particular if the system has to work in real-time on mid-ranged hardware. Classical vision-based methods have difficulties to cope with low/weak illumination, r…
Research Article
Open Access Mobil Manipülatörler için Derin Öğrenme Tabanlı Arıza Teşhis Sistemi
Zekican Yılmaz, Yılmaz Z, Tolga Yüksel, Yüksel T
Cognitive Models and Artificial Intelligence Conference 2023 https://doi.org/10.36287/setsci.6.1.011
Özetçe - Mobil manipülatörler, çeşitli endüstrilerde önemli bir rol oynamakta olup, üretim ve lojistikten sağlık hizmetleri ve felaket müdahalesine kadar birçok göreve katkı sağlamaktadır. Bu nedenle dünya genelinde çeşitli endüstriler büyüdükçe mobil manipüla…
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 Evaluation of Virtual Reality Experience in Electrical and Electronics Education
İpek Atilk, Atilk İ
International Trend of Tech Symposium 2024 https://doi.org/10.36287/setsci.21.10.052
This study aims to examine the feasibility and impact of conducting laboratory experiments, a fundamental component of electrical and electronics engineering education, on a virtual reality (VR)-based platform. The innovative platform, named "VR-EE Lab," provi…
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 Optimizing Accuracy and Efficiency in Ship Detection from Satellite Images through a Comparative Analysis of Object Detection Models
Nesli S. Azdavay, Azdavay N, Zofia G. Zajac, Zajac Z, Hakan M. Didis, Didis H, Ilayda Boz, Boz I
International Trend of Tech Symposium 2024 https://doi.org/10.36287/setsci.21.2.006
This study evaluates the performance of Faster R-CNN and YOLOv7 object detectors for dynamic ship detection in maritime applications. Both algorithms are tested under challenging conditions, including poor image quality due to cloud and dust obscuration, varyi…
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…
Research Article
Open Access Endüstriyel Üretim Tesislerinde Yumurtaların Görsel Analizi Ve Sınıflandırılması İçin Raspberry Pi Tabanlı Gerçek Zamanlı Bir Uygulama
Murat Ozan, Ozan M, Murat Ceylan, Ceylan M
2nd International Symposium on Innovative Approaches in Scientific Studies 2018
Gelişen teknoloji ve artan talep nedeniyle yumurta üretim tesisleri büyümüş ve üretim miktarları artmış ve yumurta kalitesi
ön plana çıkmıştır. Kusurlu (kirli-kırık) yumurtaların belirlenip ayrılması ve kalan yumurtaların belirli standartlarda
sınıflandırılı…
Research Article
Open Access Application of Friction Stir Spot Welding to Polypropylene Material on the CNC Machine and Determination of Optimum Welding Parameters
Gültekin Çakır, Çakır G, Şenol Mert, Mert Ş, Sevda Mert, Mert S
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017
The Friction Stir Spot Welding (FSSW) method is a derivative of the Friction Stir Welding (FSW) process, which is a new welding process that recently has received considerable attention from the automotive and other industries. The studies of the different res…
Research Article
Open Access Predictive Analytics for Regulatory Risk in Open Finance: A Data-Driven Framework
Madhu Thota, Thota M, Tuncay Bayrak, Bayrak T
International Conference on Open Finance 2025 https://doi.org/10.36287/setsci.24.4.030
The emergence of Open Finance is reshaping the global financial landscape by enabling greater data accessibility, interoperability, and innovation. However, this expanded connectivity introduces new layers of regulatory complexity, raising urgent concerns rega…
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…