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333 results for “Generative Systems”

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 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 Forces, Structures, and the Evolution of Natural and Artificial Forms
Saba Matin Aygören, Aygören S, Hilal Türkdoğdu, Türkdoğdu H
6th International Symposium on Innovations in Scientific Areas 2024 https://doi.org/10.36287/setsci.18.1.0050

The formation of architectural form is influenced by functional, economic, social, cultural, climatic, and environmental factors, along with construction and stability conditions. Stability is crucial in shaping form and ensuring durability against environment…

Research Article Open Access Earthquake Prediction Methodology Based On Neural Network Model
Azra Dilek Erhan, Erhan A, Ikhwan Kim, Kim I
6th International Symposium on Innovations in Scientific Areas 2024 https://doi.org/10.36287/setsci.18.1.00125

Forecasting earthquakes is challenging due to the difficulty in detecting underground phenomena. However, statistically, 30% of large earthquake foreshocks occur before the main shock, which indicates that, theoretically, it is possible to forecast them. Howev…

Research Article Open Access Improving Computational Performance of Least Squares Multiple Birth Support Vector Machines with k-Means Clustering
Güvenç Arslan, Arslan G, Nisa Nur Bülbül, Bülbül N
Cognitive Models and Artificial Intelligence Conference 2023 https://doi.org/10.36287/setsci.6.1.010

Multiple Birth Support Vector Machines (MB-SVM) were introduced as a powerful extension of SVM. Although the basic idea is like SVM, optimal non-parallel hyperplanes are used for each class category. One may find different implementations of this approach in t…

Research Article Open Access The Effect of the Visualization Type of Data Received from the X Platform on Manipulation Detection with Deep Learning
Hafzullah İş, İş H
Cognitive Models and Artificial Intelligence Conference 2023 https://doi.org/10.36287/setsci.6.1.031

Deep learning can provide successful results in detecting manipulations made with bot accounts on the X (Twitter) platform and preventing disinformation. As a method for applying deep learning algorithms, numerical values in the data set can be visualized and …

Research Article Open Access Use Of Natural Light In Monumental Church Structures Of The Modern Era
Firdevs Kulak Torun, Kulak Torun F
5th Symposium on Innovation in Architecture, Planning and Design 2023 https://doi.org/10.36287/setsci.6.2.001

Religion and belief systems have emerged to address the fundamental human need for belief. Over time, religion has evolved and become an integral part of societal culture. Temples constructed by polytheistic beliefs to perform their religious rites and ceremon…

Research Article Open Access CNN Hyperparameters Optimization Using Random Search For Image Classification
Dala KRAYEM, KRAYEM D, Asmaallah FALLAHA, FALLAHA A, Mohamad Taj Eddin ASHOUR, ASHOUR M, Saed ALQARALEH, ALQARALEH S
Proceedings of the 6th International Symposium on Innovative Approaches in Smart Technologies 2022 https://doi.org/10.36287/setsci.5.2.007

In the last decade, deep learning in general and Convolutional Neural Networks (CNN) have achieved a human level and outstanding performance in almost all computer-based systems such as classification(text, images, and videos). Building an efficient CNN archit…

Research Article Open Access Development of a Torque Vectoring Strategy to improve Performance in Electric Vehicles with Individually Driven Wheels
Hamza Shabbir, Shabbir H, Omer Cihan Kivanc, Kivanc O
Proceedings of the 6th International Symposium on Innovative Approaches in Smart Technologies 2022 https://doi.org/10.36287/setsci.5.2.017

In this work, a new torque vectoring strategy is developed and the results are compared with those of existing controllers that are widely used for such applications in the existing literature. The objective of said strategy is to generate the corrective yaw m…

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 Entropi ve EDAS Yöntemleri İle Personel Seçimi: Hipotetik Çalışma
Hasan Tağraf, Tağraf H, Umur Ölmez, Ölmez U
4th International Symposium on Innovative Approaches in Social, Human and Administrative Sciences 2019 https://doi.org/10.36287/setsci.4.8.030

İşletmeler, istihdam sağlamak istedikleri alanlara mevcut görev için nicel ve nitel şartlarını sağlayan en uygun personel ile çalışmak isterler. İstihdam sağlanmak istenilen pozisyon için en uygun personelin seçimi, işletmelerin iş akış süreçleri ve işletme ve…

Research Article Open Access Financial Machine Learning
Veysel Yılmaz, Yılmaz V
4th International Symposium on Innovative Approaches in Social, Human and Administrative Sciences 2019 https://doi.org/10.36287/setsci.4.8.035

Machine learning and artificial intelligence have become an integral part of people's culture, influencing the lives of most people today. Machine learning is a subset of data science that uses statistical models to create insights and predictions. Machines sh…

Research Article Open Access Pankreas kanserli hastalarda CA19-9’un prognostik değeri
Şirin Çetin, Çetin Ş, İsa Dede, Dede İ, Meryem Çetin, Çetin M
4th International Symposium on Innovative Approaches in Health and Sports Sciences 2019 https://doi.org/10.36287/setsci.4.9.063

Farklı prognostik biomarkerların prediktif önemi çeşitli kanser tiplerinde çalışılmıştır. Çalışmamızın amacı metastatik pankreas kanserli hastalarda tedavi öncesi CA19-9 değerlerinin risk derecesini ve prognostik önemini belirleyerek sağkalım ile ilişkisini or…

Research Article Open Access DFT Computational Studies on (E)-4-bromo-5-fluoro-2-((4-methoxyphenylimino)methyl)phenol
Hasan Tanak, Tanak H
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.033

Schiff bases (known as imine or azomethine) exhibit interest as materials for wide spectrum applications, particularly as corrosion inhibitors, a metal ion complexing agents, in biological systems and  thermo-stable materials. Schiff bases are an important cla…

Research Article Open Access FIXED POINT THEOREMS FOR MAPPINGS WHICH SATISFY (HRSC)-CONDITION
Nurcan Bilgili Güngör, Bilgili Güngör N
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.151

In 2008 Suzuki introduced C-condition for mappings which defined  on a subset of a Banach space and presented fixed point theorems. And in 2010 Khan and Suzuki gave a reich type convergence theorem for generalized nonexpansive mappings in uniformly convex Bana…

Research Article Open Access Bir Ortam Havası Soğutma Süreçlerindeki Tersinmezliklerin Üfleme Havası Ekserji Değeri Limitlerine Etkileri
Betül Saraç, Saraç B, Erhan Aksu, Aksu E, Teoman Ayhan, Ayhan T
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.007

Bir ortam havasının yaz şartlarına göre soğutulmasında, hava karışım bağlantısı, soğutucu serpantin, ısıtıcı serpantin ve bir fandan oluşan iklimlendirme ünitesi göz önüne alınmıştır. Bu uygulamayla bilinen ekserji analizi ile birlikte ileri ekserji analizi me…

Research Article Open Access High Technology Export Of Countries Comparison With Data Envelopment Analysis
Feyza Gürbüz, Gürbüz F, Merva Dinç, Dinç M
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.012

Systems have their own specific objectives. These objectives can be listed as; high efficiency, efficiency, profit maximization, cost minimization, customer satisfaction, growth and respectability. To measure whether the system has achieved its goals, it is ne…

Research Article Open Access Pavement Project of Forest Roads Using Fuzzy Logic
Erhan Çalışkan, Çalışkan E
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.024

Turkey is not possible in the existing forest roads with very little of the superstructure and the remaining majority uncoated and transport of wood raw material in an expeditious manner in all seasons due to the unfounded nature of the soil in the road. For t…

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 PID Parameter Optimization By Using Ant Colony And Cuckoo Algorithms For Boost Converter
Önder Civelek, Civelek Ö, Metin Tüysüz, Tüysüz M, Mustafa Şinasi Ayas, Ayas M
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.069

One of the most well-known and easy-to-design converter of DC-DC converters is DC-DC Boost converter. DC-DC boost converters are widely utilized in industrial applications. Therefore, output voltage regulation of the boost converter is a popular issue that res…

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