351 results for “big data”
Research Article
Open Access Üniversite Öğrencilerinin Mobilya Tasarımında Geometrik Form Tercihlerinin Veri Analizi ile Değerlendirilmesi: Sinop Üniversitesi Örneği
Selahattin Bardak, Bardak S, Timuçin Bardak, Bardak T
2nd International Symposium on Innovative Approaches in Scientific Studies 2018
Mobilya yüzyıllardır insanlığın kültürel zenginliğinin bir yansıması olmuştur. Aynı zamanda dünya ekonomisinde
mobilya endüstrisi önemli bir yere sahiptir. Fakat bu endüstride rekabet hızlı bir şekilde artmaktadır. Mobilya ürünü için estetik,
fonksiyonellik,…
Research Article
Open Access Fine-Tuning Models Comparisons on Garbage Classification for Recyclability
Umut Özkaya, Özkaya U, Levent Seyfi, Seyfi L
2nd International Symposium on Innovative Approaches in Scientific Studies 2018
In this study, it is aimed to develop a deep learning application which detects types of garbage into trash in order to
provide recyclability with vision system. Training and testing will be performed with image data consisting of several classes
on differen…
Research Article
Open Access Comparison of Inverse Distance Weighting and Ordinary Kriging Methods for Meteorological Maps
Mustafa Hüsrevoğlu, Hüsrevoğlu M, İsmail Bülent Gündoğdu, Gündoğdu İ
Ist International Symposium on Innovative Approaches in Scientific Studies 2018
Generally, it is limited to obtain all kinds of data for determining of variables which distributed points in any area. Estimates are made from this data for unsampled locations. Thus, the spatial properties of an examined variable are defined all over the are…
Research Article
Open Access Comparison of Text Classification Performances in Balanced and Imbalanced Datasets
Mehmet Fatih Karaca, Karaca M, Şafak Bayır, Bayır Ş
Ist International Symposium on Innovative Approaches in Scientific Studies 2018
Text mining, which aims to derive unknown and useful information from available textual data, is one of the subfield
of data mining. Text mining transforms unstructured textual data into structured form by utilizing various methods. Data mining
techniques ca…
Research Article
Open Access Applications of Data Envelopment Analysis in Textile Sector
A.Aslı İlleez, İlleez A, Mücella Güner, Güner M
Ist International Symposium on Innovative Approaches in Scientific Studies 2018
Interest in Data Envelopment Analysis (DEA) has grown in recent years. This is not surprising since DEA can be used to explore efficiency in organizations whose outputs and inputs cannot be reduce to monetary terms. In a relatively short period of time Data En…
Research Article
Open Access Forecasting the Installed Wind Power in Turkey by Artificial Neural Network
Mehmet Feyzi Özsoy, Özsoy M, Hakan Aydoğan, Aydoğan H
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017
The aim of this study is to forecast installed wind power which is a one of the renewable energy resources in Turkey for the year of 2017 based on artificial neural network method using the normalized last ten-year data. An artificial neural network has been c…
Research Article
Open Access Design and Implementation of a Wireless Sensor Node for Real-time Monitoring Applications
Selçuk Ökdem, Ökdem S, Omar Ibrahim Al-Azzawi, Al-Azzawi O
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017
Wireless Sensor Networks have many application fields including both industrial and military usages. They are used for monitoring temperature, distance, light, and motion in laboratories and/or application specific environments. This paper focuses on developin…
Research Article
Open Access Calendar Anomalies in Crisis: Intra-Day Volatility Patterns During the GFC and COVID-19
Naresh Chethala, Chethala N, Syeda Nabeera Suhail, Suhail S
International Conference on Open Finance 2025 https://doi.org/10.36287/setsci.24.1.001
This paper explores how intra-day volatility behaves across different weekdays during periods of major financial stress, focusing specifically on the S&P 500 and NASDAQ-100 indices. The analysis spans two significant market disruptions—the 2008 Global Financia…
Research Article
Open Access A Deep Learning Framework for the Identification of Distinct Stages in Diabetic Retinopathy through Retinal Image Analysis
A.D.P. Rupasinghe, Rupasinghe A, K.G. Samarawickrama, Samarawickrama K
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.3.001
Diabetic retinopathy is the leading cause of blindness among diabetic patients. It occurs when the light-sensitive tissue in the retina is damaged. According to WHO statistics, the current global prevalence of diabetic retinopathy is approximately 103 million …
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 The Impact of Electric Vehicles on The Grid
Abidin Keçeci, Keçeci A, Bülent Çavuşoğlu, Çavuşoğlu B
International Conference on Advances in Electrical-Electronics Engineering and Computer Science 2024 https://doi.org/10.36287/setsci.19.1.001
The unlimited nature of consumption and needs contrasts with the scarcity of usable resources, necessitating the optimal use of available resources. Alongside the careful protection of the environment and human health, it is crucial to meet needs with maximum …
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 Türkiye Eğitim Verisinin OECD Ülkeleri ile Karşılaştırılması
İzzet Aydın, Aydın İ, Bülent Tuğrul, Tuğrul B
Proceedings of the 6th International Symposium on Innovative Approaches in Smart Technologies 2022 https://doi.org/10.36287/setsci.5.2.001
Bu makalede OECD veri tabanından alınan eğitim verilerin, Python[1] programlama dili kullanılarak karşılaştırılması ve görselleştirilmesi gerçekleştirilmiştir. Bu grafikler uygun oldukları alt başlıklar altında incelenmiş, Türkiye'deki eğitim sistemi [2] üzeri…
Research Article
Open Access Havai Hat İletkenlerinin Isıl Performans Analizi
Murat Dinç, Dinç M, Oktay Arıkan, Arıkan O, Fırat Akın, Akın F
Proceeding of the 5th International Symposium on Innovative Approaches in Smart Technologies 2022 https://doi.org/10.36287/setsci.5.1.002
Gelişen teknoloji ve artmakta olan nüfus yoğunluğu sebebiyle enerji talebi gün geçtikçe artmaktadır. Artan enerji talebini karşılamak için gerilim seviyeleri yükseltilmekte, yeni iletim hatları inşa edilmekte, ya da var olan iletim hatları akım taşıma kapasite…
Research Article
Open Access The New Activation Function for Complex Valued Neural Networks: Complex Swish Function
Mehmet Çelebi, Çelebi M, Murat Ceylan, Ceylan M
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.050
Complex-valued artificial neural network (CVANN) has been developed to process data with complex numbers directly. In a CVANN the weights, threshold, inputs and outputs are all complex numbers. The convergence of the CVANN back propagation algorithm depending …
Research Article
Open Access Akut Lenfoblastik Löseminin Makine Öğrenimi ile Sınıflandırılması
Ayşe Berika Varol Malkoçoğlu , Varol Malkoçoğlu A, İsmail İşeri, İşeri İ
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.139
Akut Lenfoblastik Lösemi (ALL) genellikle 2-5 yaş arasındaki çocuklarda görülen, kemik iliğindeki beyaz kan hücrelerinin hızlı artışından ve şekilsel bozukluklarından kaynaklanan bir kanser türüdür. Tespit edilip tedavi sürecinin başlatılmadığı takdirde ölümle…
Review
Open Access A Review of Robotic Hand and Its Applications
Gülnur Yılmaz, Yılmaz G, Yakup Hameş, Hameş Y, Kemal Kaya, Kaya K
International Congress on Human-Computer Interaction, Optimization and Robotic Applications 2019 https://doi.org/10.36287/setsci.4.5.008
This study basically presents a review of robotic hands and its applications based on human hand motion. In the context of the review, different kinds of articles are analyzed. There are some hand motion-sensing methods, which are noncontact and direct contact…
Research Article
Open Access Multilevel controlling of Informative systems by QR-codes
Zaza Davitadze, Davitadze Z, Gregory Kakhiani, Kakhiani G, Zurab Meskhidze, Meskhidze Z
International Congress on Human-Computer Interaction, Optimization and Robotic Applications 2019 https://doi.org/10.36287/setsci.4.5.014
Any modern information system in its architecture implies the need to provide multilevel access to data. Existing mechanisms of customer interaction are oriented to users working with desktop computers and it is quite inconvenient to distribute mobile devices.…
Research Article
Open Access Word Vector Space for Text Classification and Prediction According to Author
İlknur Dönmez, Dönmez İ, Elnaz Pashaei , Pashaei E, Elham Pashaei
International Congress on Human-Computer Interaction, Optimization and Robotic Applications 2019 https://doi.org/10.36287/setsci.4.5.021
Word embedings are intense vector representations of words. They capture the semantic order between words. In our study, we propose a new method for classifying text by author, using word embeds and author vector space. Using each author's books, we trained th…
Research Article
Open Access DEVELOPMENT AND APPLICATION OF DEALER-BASED CUSTOMER DENSITY MEASUREMENT SYSTEM
Cihat Şahin , Şahin C, Emre Benzer , Benzer E, Hüseyin Ünal , Ünal H
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019
Today, the most important analysis is to get correct data about the number of customer in businesses like stores, shopping centers, banks and public enterprises. Especially, the most important outcome of the R & D and Designs made within the enterprises is the…