139 results for “Mask Detection”
Research Article
Open Access Kalp Hastalığı Risk Tahmini için Makine Öğrenmesi Tabanlı Mobil Uygulama
Bartu Başaran, Başaran B, Ali Akdağ, Akdağ A
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.48.001
Sunulan çalışmada, kalp hastalığı riskinin erken ve güvenilir biçimde tahmin edilmesini sağlayan makine öğrenmesi tabanlı bir mobil uygulama geliştirilmiştir. Dokuz farklı algoritma değerlendirilmiş, en yüksek doğruluğa (%86,81) sahip olan k-NN modeline rağmen…
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 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 Gait Recognition using RGB-D Camera for Player Labeling
Yilmaz Atay, Atay Y, Agusta Wicaksono, Wicaksono A, Ahmet Arslan , Arslan A
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019
The identification of the 3-dimensional physical properties of humans has recently become a very important field of study. In this respect, today's applications and research use depth cameras such as Kinect as an input tool for identification of quantitative c…
Research Article
Open Access A Performance Analysis of Extreme Learning Machine on Skin Segmentation Dataset
Ayşenur Uzun , Uzun A, Eda Çapa Kızıltaş , Kızıltaş E, Ersen Yılmaz , Yılmaz E
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019
Digital image processing has become popular research area recently because of its widespread application compatibility such as security, robotics, quality control, face authentication. Skin segmentation methodology, which is a tool of digital image processing,…
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 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 …
Research Article
Open Access El Yazısı Karakterlerin Tanınmasında Derin Sinir Ağlarının Etkinliği Kısıtlı ve Geniş Sınıf Yapılarının Performans Analizi
Erdin Fidan, Fidan E, Mahir Kaya, Kaya M
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.65.001
Bu çalışmada, el yazısı karakterlerin tanınmasına yönelik derin öğrenme tabanlı bir model geliştirilmiştir. Model, farklı sayıda çıkış sınıfı (karakter) için test edilmiş; yalnızca 10 karakterin sınıflandırıldığı senaryoda %96 doğruluk oranı elde edilirken, sı…
Research Article
Open Access The Random Forest with Hybrid Principal Component Analysis for detecting Healthy and Insomnia individuals in three subtypes of Cyclic Alternating Pattern Sleep Study
Nadhim Azeez Sayel, Sayel N, Mohammad Fayaz, Fayaz M
Proceeding of the Cognitive Models and Artificial Intelligence Conference 2024 https://doi.org/10.36287/setsci.17.1.001
Sleep disorders such as insomnia, sleep bruxism, narcolepsy, and sleep-disordered breathing have different sleep quality parameters such as cyclic alternating pattern phases and A subtype phases. This study aims to analyze and predict the A phase subtypes from…
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 A New Method for Diagnostics of Faults of Three-phase Squirrel Cage Asynchronous Motor
Osman Zeki Erbahan, Erbahan O, İbrahim Aliskan, Aliskan İ, Rıdvan Keskin, Keskin R
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.058
Asenkron motorlar, endüstrideki en yaygın kullanılan motorlardır. Çok avantajlı bir yapıda olduklarından üretim hatlarının her noktasında bulunurlar. Bu motorların arızalarını hızlı ve kolay bir şekilde tespit etmek arzu edilir. Bu makalede, asenkron motorları…
Research Article
Open Access Development of a Software Platform Based on Haptic Device for Surgery Simulators
Nazmiye Ebru Duysak, Duysak N, Emre Dandil, Dandil E, Alpaslan Duysak, Duysak A
International Congress on Human-Computer Interaction, Optimization and Robotic Applications 2019 https://doi.org/10.36287/setsci.4.5.004
Haptic devices are used in a variety of virtual reality applications in order to allow user interaction with virtual objects. These devices transfer user comments such as rotations, transitions or deformations to the virtual environment and also transfer any r…
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 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 Object Recognition System Based on Oriented FAST and Rotated BRIEF
Majeed A. Mohsin ABDULMAJEED, ABDULMAJEED M, Levent Seyfi, Seyfi L
2nd International Symposium on Innovative Approaches in Scientific Studies 2018
Over the last few years, object recognition systems take the researchers' attention. The revolution in the artificial
intelligence and computer vision systems and algorithms drives to numerous approaches. In this research, we are presenting an
object recogni…
Research Article
Open Access Detection of Cell Defects in Photovoltaic Systems
Ali Durmuş, Durmuş A, Abdülkadir Dağlı, Dağlı A, Tahir Karakoç, Karakoç T
Ist International Symposium on Innovative Approaches in Scientific Studies 2018
When the traditional fuel reserves are limited and the environmental factors of these fuels are taken into consideration, the importance of renewable energy sources is increasing day by day. Especially, obtaining electricity from solar energy has become popula…
Research Article
Open Access Non-Magnetic Materials Assignment based on Artificial Neural Network
Umut Özkaya, Özkaya U, Şaban Öztürk, Öztürk Ş, Levent Seyfi, Seyfi L, Bayram Akdemir, Akdemir B
Ist International Symposium on Innovative Approaches in Scientific Studies 2018
In this paper, signal recognition system is proposed for classification of soil types and buried object by using feature extraction and artificial neural networks. Using GprMax simulation program, 300 GPR A scan signals were obtained for different ground plane…
Abstract Only
Open Access Development of National Medical Diagnostic Kits from Locally Produced Enzymes
İsa Gökçe, Gökçe İ
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017
The effective control and treatment of chronic diseases requires access to diagnostic tests that are rapid, reliable and very sensitive. Nucleic acid based methods of pathogen detection technologies offer very rapid and accurate results with high sensitivity a…
Research Article
Open Access Detection of Apnea Event with ANN Using Acceleration Data
Harun Sümbül, Sümbül H, A. Hayrettin Yüzer, Yüzer A
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017
In this study, the accelerations caused by the diaphragm movements during respiration were monitored with a 3-axis accelerometer and the measured accelerations were recorded on an SD card. A measurement system for this purpose was developed. The moments in whi…
Research Article
Open Access Execution Certificates for Open Finance: Auditable Data Availability, Latency, and Cost in Learned Lead–Lag Trading
Eric Benhamou, Benhamou E, Jean-Jacques Ohana, Ohana J, Beatrice Guez, Guez B, Thomas Jacquot, Jacquot T, Ethan Setrouk, Setrouk E, Chamyl Saadi, Saadi C
Proceedings of the International Conference on Open Finance (ICOF 2026) 2026 https://doi.org/10.36287/setsci.25.2.001
Open-finance interfaces make market data and trading services programmable, but an API response is not an executable signal. Economic information depends on data receipt, inference completion, and feasible order arrival. We propose an execution certificate: a …