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322 results for “Transformatör model”

Research Article Open Access ELECTRA ve XLNET Modellerini Kullanarak X Verilerinden İntihara Meyilli İçerikleri Tespit Etme
Tolga Aydın, Aydın T, Muhammet Coşkun Irmak, Irmak M
Cognitive Models and Artificial Intelligence Conference 2023 https://doi.org/10.36287/setsci.6.1.019

İntihar konusu, birçok farklı disiplin tarafından incelenen ve tarihin her döneminde karşılaşılan bir konu olmuştur. Teknolojinin gelişimi ve akıllı telefonların her yerde bulunması sebebiyle, kullanıcılar, özellikle çevrimiçi sosyal platformlar aracılığıyla d…

Research Article Open Access Transformatörlerde Buşing Bağlantılarının Önemi
Tuğçe Kayalak, Kayalak T, Furkan Ekşi, Ekşi F, Şeyma Nur Gökmen, Gökmen Ş, Ahmet Doğuhan Mermer, Mermer A, Melis Öder, Öder M
International Conference on Advances in Electrical-Electronics Engineering and Computer Science 2024 https://doi.org/10.36287/setsci.19.10.047

Bu çalışma, transformatörlerde alçak gerilim (AG) tijlerinin kararmasına yol açan aşırı ısınma sorunlarını ve bu sorunların çözümünü ele almaktadır. Transformatörler, elektrik enerjisini alçak gerilimden yüksek gerilime veya tam tersine çevirerek, enerjinin uz…

Research Article Open Access Sensitivity Analysis For Control Parameters Of Hybrid And Standard PSO Algorithms: Application Via A Rainfall-runoff Model Calibration
Umut Okkan, Okkan U, Umut Kırdemir, Kırdemir U
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.085

In the phases of hydrological model calibration, the impact of control parameters of optimization algorithms on the related fitness (cost) function (reaching the global solution correctly and expeditiously) is rather essential. These control parameters’ dynami…

Research Article Open Access Experiment of Different Mutation Strategies in Differential Evolution Algorithm Employed for Calibration of a Lumped Water Balance Model
Umut Okkan, Okkan U, Umut Kırdemir, Kırdemir U
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.086

Differential evolution algorithm (DEA) is one featured kind of population based evolutionary algorithms. Although it is stated in previous studies that the algorithm is more sensitive to the crossover rate, it is tried out in this study whether DEA depends on …

Research Article Open Access 3B Süperiletken Tellerin Benzeşimi için Yeni ve Verimli Bir Sayısal Model
Fedai İnanır, İnanır F, Şükrü Yıldız, Yıldız Ş, Fedor Gömöry, Gömöry F
Ist International Symposium on Innovative Approaches in Scientific Studies 2018

Maxwell denkleminin AV formülasyonu esas alınarak, zamana bağlı bir akım altında süperiletken telin elektromanyetik özelliklerini çözmek için yeni bir sayısal model geliştirilmiştir. Farklı akım genlikleri için alternatif akım (AA) kayıpları hesaplanmış ve iki…

Research Article Open Access A Robust Formulation for U-shaped Assembly Line Balancing Problem Under Task Time Uncertainty by Considering Worker Skills
Ömer Faruk Yılmaz, Yılmaz Ö
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.015

The U-shaped assembly line balancing (UALB) problem has been extensively investigated in the existing academic literature. However, only a limited number of studies consider the uncertainty in the assembly lines. In this research, a robust formulation is devel…

Research Article Open Access Izhikevich Sinir Hücresi Modelinin Raspberry Pi Kullanılarak Gerçekleştirilmesi
Vedat Burak Yücedağ, Yücedağ V, İlker Dalkıran, Dalkıran İ
2nd International Symposium on Innovative Approaches in Scientific Studies 2018

Canlılar koşma, yürüme ve emekleme gibi temel hareketlerini gerçekleştirmek için Merkezi Desen Üreteçleri olarak isimlendirilen ritmik desenler üreten sinir hücreleri topluluğuna sahiptir. Merkezi Desen Üreteçleri, canlıların bu temel hareketlerine ek olarak…

Research Article Open Access Comparison of Expectations and Satisfaction of Vocational Students from Training Model
Veli Erdinç Ören, Ören V, Tuba Şahin Ören, Şahin Ören T
Ist International Symposium on Innovative Approaches in Scientific Studies 2018

3 + 1 Training Model have been developed in vocational high schools in Turkey in order to train the qualified personnel needed by the industry with the technology and knowledge of the day at the right time. In this training model, the students receive 3 semest…

Research Article Open Access Enhancing Financial Market Sentiment Analysis Using Dataset Augmentation
Dante Contella, Contella D, Johnson Kinyua, Kinyua J, Charles Mutigwe, Mutigwe C
International Conference on Open Finance 2025 https://doi.org/10.36287/setsci.24.5.039

We developed a series of financial social media sentiment analysis models starting with PyFin-Sentiment, a recent state-of-the-art domain-specific large language model for the financial domain. We focused on label accuracy and improvements in the quality and q…

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 Modelling Flood Routing Using Hybrid Heuristic Algorithm
Umut Okkan, Okkan U, Barış Yılmaz, Yılmaz B
2nd International Symposium on Innovative Approaches in Scientific Studies 2018

In the analysis of the flood routing problem, it is necessary to determine the change of the flood wave moving through the channel according to time and location, and in this context, nonlinear 3-parameter Muskingum model (NL-MUSK) is widely used. The parame…

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 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 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 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 Numerical Modeling of Infilled Reinforced Concrete Frame and Its Verification
Vesile Hatun Akansel, Akansel V, Ahmet Yakut, Yakut A
Ist International Symposium on Innovative Approaches in Scientific Studies 2018

Infill walls in reinforced concrete buildings produce a strong effect on the strength and deformation capacity of the buildings. In practice, a partial or full absence of infill walls at the first stories may become one of the reasons for vertical irregularity…

Research Article Open Access 2050 Mimarlık ve İç Mimarlık Eğitim Yapıları Tahayyülü Üzerine
Fahreddin Fatih Mete, Mete F
7th International Symposium on Innovation in Architecture, Planning and Design 2025 https://doi.org/10.36287/setsci.23.50.001

Mekân, bulunduğu dönemin getirileri ile şekillenir, kültürel ve teknolojik gelişmeleri ile evrilir. Eğitim yapıları da bulunduğu döneme ve teknolojik gelişmelere bağlı olarak dönüşmekte, gerek mekânsal gerek de müfredat ve öğretim kurgusu açısından değişiklikl…

Research Article Open Access Explainable Multi-Task Deep Learning for Blood Glucose Forecasting: A Lightweight, Interpretability Focused Approach
Sarmad Maqsood, Maqsood S, Muhammad Abdullah Sarwar, Sarwar M, Egle Belousoviene, Belousoviene E, Rytis Maskeliünas , Maskeliünas  R
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.4.001

Accurate and transparent blood glucose forecasting is crucial for effective diabetes management. This paper presents an interpretable deep learning (DL) framework based on multi-task learning (MTL) for forecasting glucose levels at multiple prediction horizons…

Research Article Open Access XAI-Powered Comparative Diabetes Prediction with XGBoost, SVM and Artificial Neural Networks
Furkan Sefa Demirci, Demirci F, Remzi Yıldırım, Yıldırım R
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.30.001

In this study, diabetes prediction was conducted using XGBoost, Support Vector Machines (SVM), and a Multilayer Artificial Neural Network (ANN). Attributes that cannot be biologically ‘0’ (e.g. glucose, BMI) were first marked as NaN. After filling the missing …

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…

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