479 results for “Regression Analysis”
Research Article
Open Access Predictive Analysis of Cross-Cultural Issues in Global Software Development Using AI Techniques
Zohaib Iqbal, Iqbal Z, Gizem Temelcan Ergenecosar, Ergenecosar G
International Trend of Tech Symposium 2024 https://doi.org/10.36287/setsci.21.9.049
Global Software Development (GSD) brings together teams from diverse regions and cultural backgrounds, allowing for the pooling of varied expertise and perspectives. However, this international collaboration often comes with significant challenges, such as com…
Research Article
Open Access Forecasting Banking Desert Risk Using Branch Level and Merger Signals
Malavika Polanki, Polanki M
Proceedings of the International Conference on Open Finance (ICOF 2026) 2026 https://doi.org/10.36287/setsci.25.5.001
In the United States, banking desert status is classified annually from that same year’s branch data, producing a contemporaneous snapshot of current access rather than a forecast of which communities are likely to change status next. This study tests whether …
Research Article
Open Access Estimation of Electricity Consumption of Turkey by using ARIMA, Grey Model and Linear Regression Analysis
Zeynep Ceylan, Ceylan Z, Hakan Öztürk, Öztürk H, Birol Elevli, Elevli B
2nd International Symposium on Innovative Approaches in Scientific Studies 2018
The successful estimation of future electricity consumption has a crucial importance in the energy planning.
Because, in order to meet rising energy demand, policy makers should formulate electricity supply policies and make critical
decisions and develop ne…
Research Article
Open Access Engine performance and exhaust gas temperature modeling in a diesel engine with butanol-diesel fuel blends: Comparison of artificial neural networks and regression analysis
Samet Gürgen, Gürgen S, İsmail Altın, Altın İ
2nd International Symposium on Innovative Approaches in Scientific Studies 2018
In this study, the effect of using a mixture of butanol and diesel fuel in a small diesel engine on engine performance
and exhaust emissions is modeled. A comparison has been made with artificial neural networks, which is an up-to-date method,
and multiple l…
Research Article
Open Access Development of Machine Learning-Based Sales Cancellation/Return Forecasting Models for the E-Commerce Industry
Zehra Sude Sarı, Sarı Z, Batuhan Taşkapı, Taşkapı B, Gökay Dağdaş, Dağdaş G, Mehmet Fatih Akay, Akay M
International Conference on Advances in Electrical-Electronics Engineering and Computer Science 2024 https://doi.org/10.36287/setsci.19.5.022
E-commerce is evolving rapidly, creating a more competitive market environment. With this development, gaining a competitive advantage has become even more crucial. Companies implement various strategic moves to maintain their position in this competitive mark…
Research Article
Open Access The Relation Between Foreign Trade Deficit and Budget Deficit Before and After Customs Union in Turkey
İmdat Köksal, Köksal İ, Emine Ateş, Ateş E, Ali Çiçek, Çiçek A, Muhammed Sait Işıldak, Işıldak M
Ist International Symposium on Innovative Approaches in Scientific Studies 2018
To investigate how foreign trade deficits and budget deficits of Turkey navigated pre and post customs union (CU) with European Union. In the study, for the budget deficits (BD), General Directorate of Budget and Fiscal Control (BUMKO) and also for the foreign…
Research Article
Open Access İleri Beslemeli Yapay Sinir Ağları için Donanım Uygulamasına Yatkın Çevrimiçi ELM Tabanlı Eğitim Algoritması
Önder Polat, Polat Ö, Sema Koç Kayhan, Koç Kayhan S
Cognitive Models and Artificial Intelligence Conference 2023 https://doi.org/10.36287/setsci.6.1.013
Bu bildiride, ileri beslemeli tek gizli katmanlı yapay sinir ağları için donanım uygulamasına uyumlu olan ve seyrek düzenlileştirilmiş bir aşırı öğrenme makinası (ELM) algoritması sunulmaktadır. Önerilen algoritma, düzenlileştirme için genelleştirilmiş minimak…
Research Article
Open Access Karar Ağacı Algoritmalarıyla Öğrencilerin Akademik Performans Verilerinin Sınıflandırılması
Büşra Duygu, Duygu B, Nursal Arıcı, Arıcı N
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019
Eğitim sektörünün giderek büyüyen yapısında, yükseköğretim kurumları, öğrenci performansının akademik olarak iyileştirilmesi ve öğrencilerin okulu bırakmalarını önlemek için veri madenciliği araçlarını ve tekniklerini kullanmaktadır. Veriler sosyo-ekonomik, de…
Research Article
Open Access Öğrenci Bilgi Seviyesinin Veri Madenciliği Yöntemleri ile Belirlenmesi ve Tahmin Edilmesi
Sezer Seven, Seven S, Tolga Aydın, Aydın T, Güler Karaman, Karaman G
Cognitive Models and Artificial Intelligence Conference 2023 https://doi.org/10.36287/setsci.6.1.016
Öğretmenler açısından öğrencilerin herhangi bir konuda bilgi düzeylerinin bilinmesi oldukça önemlidir. Bu doğrultuda öğrencilerin bilgi düzeylerinin ölçülmesi veya belirlenmesine yönelik olarak çalışmalar literatürde mevcuttur. Yapılan çalışmalara genel olarak…
Research Article
Open Access Estimation of Electricity Consumption by Regression and Artificial Neural Networks Approaches
Ümmü Gülsüm Eraslan, Eraslan Ü, Figen Balo, Balo F, Büşra Çetin, Çetin B, Ukbe Ü. Uçar, Uçar U
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017
Aim of the study: It is important to be able to plan the production transmission and distribution necessary for uninterrupted electricity and to use the electricity more efficiently and to make demand forecasts. For this reason, it is aimed to estimate the ele…
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 Amasya Kent Merkezinde Fiziksel Zarar Görebilirlik Düzeylerinin Mekânsal Analizi: CBS Tabanlı Bir Yaklaşım
Harun Ceylan, Ceylan H, Rabia Karamustafa, Karamustafa R, Süleyman Tuğrul Kılıç, Kılıç S, Aslı Altanlar, Altanlar A
7th International Symposium on Innovation in Architecture, Planning and Design 2025 https://doi.org/10.36287/setsci.23.83.001
Afet risklerinin azaltılmasında, fiziksel zarar görebilirlik düzeylerinin mekânsal olarak belirlenmesi ve görselleştirilmesi, kentsel dayanıklılığın artırılması açısından kritik bir öneme sahiptir. Bu çalışma, Amasya kent merkezinde afet kaynaklı fiziksel kırı…
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 Mesleki Eğitim Kursları İstihdam Oranlarını Etkiler mi?
Pınar Koç, Koç P
4th International Symposium on Innovative Approaches in Social, Human and Administrative Sciences 2019 https://doi.org/10.36287/setsci.4.8.011
Aktif istihdam politikaları kapsamında İş ve İşçi Bulma Kurumu tarafından mesleki eğitim kursları verilmekte, istihdam oranlarının artırılması ve işgücü piyasalarının personel ihtiyacının karşılanması hedeflenmektedir. Bu bağlamda bu çalışmada İBBS düzey 2 k…
Research Article
Open Access İlköğretim Matematik Öğretmeni Adaylarının Sayı Öğretme Bilgilerini Yordayan Değişkenler
Serhat Aydın, Aydın S
2nd International Symposium on Innovative Approaches in Scientific Studies 2018
Bu çalışmada 20 farklı Türk üniversitesinde okuyan birinci sınıf ilköğretim matematik öğretmeni adaylarının sayı
öğretme bilgilerinin çeşitli demografik değişkenler tarafından nasıl yordandığı araştırılmıştır. Veriler birinci sınıfın hemen
başında, Aydın [1]…
Research Article
Open Access Karar Ağaçları ile Otistik Spektrum Bozukluğu Tanısı Koyma
Büşra DUYGU , DUYGU B, Merve KOCAOĞLU , KOCAOĞLU M, Aysun COŞKUN , COŞKUN A
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019
Çalışmamız; sosyal etkileşim, tekrarlayan davranışlar, kısıtlı ilgi alanları ve iletişim sorunu olarak ortaya çıkan ve ömür boyu devam eden bir gelişim bozukluğu olan Otizmin erken tanısı üzerine gerçekleştirilmiştir. Karar ağacı algoritmaları ile Otistik Spek…
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 Statistical precision of Malmquist Productivity Index and DEA: A bootstrap application to OECD healthcare
Serpil Aydın, Aydın S
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.125
Data Envelopment Analysis (DEA) is a non-parametric mathematical programming that uses multi inputs to produce multi outputs. It is investigated whether the decision making unit is effective or not. However, it has been debated for years that the results obtai…
Research Article
Open Access Innovative Trend Analysis of Annual Precipitation in Southeastern Anatolia Region, Turkey
Barış Yılmaz, Yılmaz B, Umut Okkan, Okkan U
2nd International Symposium on Innovative Approaches in Scientific Studies 2018
Trend analysis of precipitation play a significant role in the efficient water resources management, especially in arid
and semi-arid regions. In this study, 48 years-long (1970-2017) annual precipitation data monitored at nine selected stations
(Mardin, Adı…
Research Article
Open Access Trend Analysis of Some Meteorological Data in Antalya
Ülker Güner Bacanlı, Bacanlı Ü, Sibel Çukurluoğlu, Çukurluoğlu S
Ist International Symposium on Innovative Approaches in Scientific Studies 2018
The effects of climate change in the world are observed to have significant effects on different environmental variables.
Therefore, changes in climate parameters should be examined and analyzed. These changes can be determined by parametric
and non-parametr…