87 results for “Mean Squared Error (MSE)”
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 Analysis of Highway Traffic Using Deep Learning Techniques / Derin Öğrenme Teknikleri Kullanılarak Anayol Trafik Analizi
Muhammet Esad Özdağ, Özdağ M, Nesrin Aydın Atasoy, Aydın Atasoy N
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.098
Traffic flow forecasting has an important place in designing a successful intelligent transportation system. The success of the forecasting is related to the accuracy and timely acquisition of the traffic flow data. The inadequacy in the number of data has led…
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…
Research Article
Open Access Crop Yield Prediction Using Machine Learning Algorithms
G. Malini Devi, Devi G, Badhe Siri Vennela, Vennela B, Shreya Arukala, Arukala S, Sai Amogha Uppalapati, Uppalapati S, Kambalapally Anudeepthi, Anudeepthi K
Proceeding of the Cognitive Models and Artificial Intelligence Conference 2024 https://doi.org/10.36287/setsci.17.1.0040
The study will utilize machine learning algorithms such as Random Forest, Gradient Boosting, and Support Vector Regression (SVR) on data collected from the districts of Nalgonda, Yadadri Bhuvanagiri, and Suryapet over the past two years. The project seeks to m…
Research Article
Open Access A Weighted Mean-Squared Error Optimization Model with both Controllable and Noise Input Variables for a Cuboidal Design Region
Akın Özdemir, Özdemir A
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.082
A central composite design is a good choice for a spherical design region while providing high-quality predictions over the entire spherical design region. However, this design requires design variable settings outside the range of the design variables in the …
Research Article
Open Access Comparison the forecasting performance of wavelet activation functions in wind speed prediction with wavelet neural networks
Mustafa Demir, Demir M, Turgut Özseven, Özseven T, Arzu Sarıgül, Sarıgül A, Serkan Şenkal, Şenkal S
Ist International Symposium on Innovative Approaches in Scientific Studies 2018
The integration of increasing renewable energy-based energy production into the existing electricity grid has become of great importance. The biggest difficulty to integration into the power grid is variability and discontinuity of wind energy. To deal with th…
Research Article
Open Access Determination on The Number of Roots in Pure Oriental Beech (Fagus orientalis Lipsky.) Forests in Karabük-Yenice District of Turkey
Hali Barış Özel, Özel H, Nebi Bilir, Bilir N
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017
This study was carried out in the pure oriental beech forests of Yenice-Kızılkay in the Western Black Sea Region of Turkey, where the changes in the number of side roots and the changes in the height and diameter of the beech trees were examined in three diffe…
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 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 Comparative Analysis of cVAE, cGAN, and LSTM Models for Music Generation Based on Weather Conditions
Nedim Karavdić, Karavdić N, Bećir Isaković , Isaković B
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.11.001
Generative Artificial Intelligence is gaining popularity every day and uses contextual data to personalize and enhance user experiences. This paper explores music generation that is conditioned on weather. It influences musical compositions by connecting MIDI …
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 The Effects of Noise Distributions on Robust Design
Melis Zeybek, Zeybek M, Onur Köksoy, Köksoy O
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017
Taguchi’s robust parameter design focuses on reducing the system variability caused by the noise factors. The results obtained under unrealistic assumptions about the noises may mislead the practitioners when it comes to improving quality in robust design. For…
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 Forecasting the Dielectric Properties of the Insulation Material using an Embedded ANN Microcontroller
Hakan Aydoğan, Aydoğan H, Faruk Aras, Aras F, Ercüment Karakaş, Karakaş E
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017
This paper describes a laboratory application for the forecasting the dielectric properties, using an artificial neural network embedded in a microprocessor. The dielectric permittivity and loss factor of the insulation material were determined as a function o…
Research Article
Open Access Hyperparameter Optimization of a Faster R-CNN Model For Fault Detection In Quality Control
Abdullah Yüksel, Yüksel A, Oğuzhan Karahan, Karahan O
International Trend of Tech Symposium 2024 https://doi.org/10.36287/setsci.21.5.023
Quality control in the industry is becoming increasingly important as a result of increasing market competition and the need for quality products. The increasing complexity of industrial processes and the increase in the amount of data available have promoted …
Research Article
Open Access Meme Histopatoloji Görüntülerinin Derin Öğrenme Yöntemleri İle Sınıflandırılması
Meral Karakurt, Karakurt M, İsmail İşeri, İşeri İ
International Congress on Human-Computer Interaction, Optimization and Robotic Applications 2019 https://doi.org/10.36287/setsci.4.5.019
Kanser, insan ölümlerine sebep olan hastalıklar arasında ikinci sırada gelmektedir. Günümüzde insanların kansere yakalanma oranları giderek artmaktadır. Kanser; kötü beslenme, sigara ve alkol kullanımı, uzun süre güneş ışığına maruz kalma gibi birçok nedenle o…
Research Article
Open Access GAUSS FONKSİYONLARI İLE PENCERELENMİŞ POLİNOM AKTİVASYON FONKSİYONU KULLANAN DALGACIK SİNİR AĞI İLE YAPAY SİNİR AĞLARININ, ÇOK KISA VADELİ RÜZGAR HIZI TAHMİNİNDE, TAHMİN BAŞARIMLARININ KARŞILAŞTIRILMASI
Serkan Şenkal, Şenkal S, Cem Emeksiz, Emeksiz C
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019
Fosil bazlı yakıtların giderek ömrünü tamamladığı dünyamızda alternatif enerji kaynaklarının önemi hızla artmaktadır. Bir alternatif enerji şekli olan rüzgar enerjisinde, rüzgar türbinleri kurulu olduğu alanın sadece %1’ini işgal etmesi ve kurulduğu kırsal ala…
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 Design of a PID Controller with Fractional Order Derivative Filter for Automatic Voltage Regulation in Power Systems
Erdinç Şahin, Şahin E
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.013
In this study, a PID controller with fractional order derivative filter (PIDFF) is designed for automatic voltage regulation (AVR) in power systems. In order to ensure maximum transient and steady state performance from the designed controller, the controller …
Review
Open Access Functional Development in Facial Transplants Using Surface EMG Analysis: Literature Review
Serkan Şenkal, Şenkal S, Hakan Çoban, Çoban H, Mustafa Demir, Demir M, Arzu Sarıgül, Sarıgül A
Ist International Symposium on Innovative Approaches in Scientific Studies 2018
In recent years, significant improvements have been made in face transplants as well as organ transplants operations. It is also important to improve the adaptation process and quality of life of the patient after the transplant as well as the successful compl…