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330 results for “Machine Learning Models”

Research Article Open Access PREDICTION OF HIGH-TEMPERATURE PERFORMANCE OF GEOPOLYMER MODIFIED ASPHALT BINDER USING ARTIFICIAL NEURAL NETWORKS
Mustafa Alas, Alas M, Shaban Ismael Albrka Ali  , Albrka Ali   S
2nd International Symposium on Innovative Approaches in Scientific Studies 2018

Complexity in the behavior of asphalt binders are further escalated with geopolymer (fly ash and the alkali liquid) modification thus, making it difficult to predict the performance of the binder accurately. This study employs artificial neural network model…

Research Article Open Access 3D Ağız İçi Taramalarına ait Nokta Bulutu Verileri ile Derin Öğrenme Kullanılarak Diş Tipi Sınıflandırması
Furkan Şenyurt, Şenyurt F, İsmail İşeri, İşeri İ
Proceeding of the 5th International Symposium on Innovative Approaches in Smart Technologies 2022 https://doi.org/10.36287/setsci.5.1.014

Son yıllarda üretim teknolojilerindeki gelişmeler, daha düşük maliyetli gelişmiş ağız içi tarayıcıların ortaya çıkmasını ve kısa sürede diş hekimliğinde kullanılmasına neden olmuştur Literatüre bakıldığında ağız içi taramalarından elde edilen ham verinin doğru…

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 …

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 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 Pedestrian and Vehicles Detection with ResNet in Aerial Images
Enes Cengiz, Cengiz E, Cemal Yılmaz, Yılmaz C, Hamdi Tolga Kahraman, Kahraman H, Fatih Bayram, Bayram F
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.107

 In today's applications, a significant increase in the use of deep learning algorithms is noticeable. The convolution neural network (CNN) of deep learning has been used frequently recently, especially for the successful discrimination of people and vehicles …

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 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 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…

Research Article Open Access Ailevi Akdeniz Ateşi'nde Kolşisin Tedavisinin Makine Öğrenmesi Analizi
Muhammet İkbal Yıldız, Yıldız M, Salim Ceyhan, Ceyhan S
Cognitive Models and Artificial Intelligence Conference 2023 https://doi.org/10.36287/setsci.6.1.017

Bu çalışma, Ailevi Akdeniz Ateşi (AAA) hastalığına özgü bir veri setini analiz etmek için K-means kümeleme ve Kruskal-Wallis istatistiksel testini kullanan kapsamlı bir araştırmadır. Çalışmanın ana hedefi, AAA hastalarının kolşisin tedavi yanıtlarını etkileyen…

Research Article Open Access A Mobile Robot Application for 3D Object Classification via Point Cloud Data in Indoor Environment
Fatma Caran, Caran F, Güleycan Tuğrul, Tuğrul G, Ümit Göven, Göven Ü, Kaya Turgut, Turgut K, Burak Kaleci, Kaleci B
International Congress on Human-Computer Interaction, Optimization and Robotic Applications 2019 https://doi.org/10.36287/setsci.4.5.038

3D object classification has been widely studied in robotic community in recent years. According to types of features that are utilized to describe an object, 3D object classification studies can be separated into two main categories (local and global).The loc…

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 Optimize Edilmiş Trend Takip İndikatörü (OTT) ve Stokastik (STOS) İndikatörleri ile Matriks Veri Terminalinde BİST XELKT Endeksinde Algoritmik Trade Örneği
Yavuzhan Ertürk, Ertürk Y, Nuran Yörükeren, Yörükeren N
Proceedings of the 6th International Symposium on Innovative Approaches in Smart Technologies 2022 https://doi.org/10.36287/setsci.5.2.005

Finansal piyasalarda piyasa katılımcıları; temel analiz ve  teknik analiz yöntemlerini kullanarak ilgilendikleri üründe alım satım kararlarını vermektedir. Temel analiz yöntemlerinde firma, sektör, ekonomi analizlerinden; teknik analiz yöntemlerinde ise trend,…

Research Article Open Access Teachers’ Views on Interactive Web Apps
Zeynep Tatlı, Tatlı Z, Derya Altınışık, Altınışık D, Göksel Çelenk, Çelenk G
2nd International Symposium on Innovative Approaches in Scientific Studies 2018

The study aims to analyze the views the teachers, who attended the training on study sheet preparation using interactive web apps, have about the process. The sample used for case study contains 26 teachers who attended the “Study Sheet Preparation Using Int…

Abstract Only Open Access Mevsimsel Otoregresif Entegre Hareketli Ortalama Yöntemi ve Destek Vektör Regresyon Yönetimi ile Talep Tahmini: Bir Tatlı Firmasının Gelecek Dönemlerdeki Lokum Üretim Miktarının Tahmini
Hamid  Einilo  , Einilo   H, Fatih Emre  Boran  , Boran   F
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019

Günümüzde globalleşme ile işletmeler arasında oluşan rekabet artmakta, işletmelerin bu rekabette bir adım öne geçmesi yürütmüş olduğu önemli faaliyetlerde stratejik kararlar almalarına bağlıdır. Özellikle ürün üreten işletmelerde üretim planlama, satış pazarla…

Research Article Open Access Comparison of Standardized Runoff Index and Apportionment Entropy in Hydrological Drought Analysis of Susurluk Basin Flows
Umut Okkan, Okkan U, Hatice Altun, Altun H
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.084

Hydrological drought is one of the most essential natural hazards attributing water scarcity and its global impact increases due to the climate change. In particular, the usage of climate models and rainfall-runoff models for projecting the severity of future …

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 Dondurularak Kurutulan Muzun Kinetik Modeli
Bahadır Acar, Acar B, Abdullah Dağdeviren, Dağdeviren A, Mehmet Özkaymak, Özkaymak M
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.156

In this study, freeze drying (FD) technology, which is used commonly to preserve the beneficial aromas of the products by prolonging the shelf life and therefore shown as the healthiest drying method. Bananas were used as the dried product that consumes a lot …

Research Contributions (2019+)Peer reviewed by at least two reviewers
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