Konu "Artificial neural networks" için Araştırma Çıktıları | Web of Science İndeksli Yayınlar Koleksiyonu listeleme
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C-shaped split ring resonator type metamaterial antenna design using neural network
(SPIE, 2021)A C-shaped split ring resonator-based metamaterial (MTM) structure placed on a patch antenna is proposed. An artificial neural network (ANN) is applied to design and determine dimensions of an MTM structure that is similar ... -
Estimating the energy production of the wind turbine using artificial neural network
(Springer-Verlag London Ltd, 2016)Due to fluctuating weather conditions, estimating wind energy potential is still a significant problem. Artificial neural networks (ANNs) have been commonly used in short-term and just-in-time modeling of wind power ... -
A Hybrid Dimension Reduction Based Linear Discriminant Analysis for Classification of High-Dimensional Data
(Institute of Electrical and Electronics Engineers Inc., 2021)Linear discriminant analysis (LDA) is a notable classification algorithm thanks to its major success in many applications of the real-world. In spite of its successfulness for low-dimensional data, a dimension reduction ... -
A new hybrid meta-heuristic optimization method for predicting UTS for FSW of Al/Cu dissimilar materials
(SAGE Publications, 2023)Joining of aluminum (Al) and copper (Cu) materials used in aerospace, automotive, chemistry, nuclear, electrical-electronic and energy sector with traditional fusion welding methods has some negative consequences. One of ... -
Personalized Advanced Time Blood Glucose Level Prediction
(Springer, 2021)The introduction of continuous glucose monitoring (CGM) devices for glucose level measurement accelerated the application of artificial intelligence methods in predicting advanced time blood glucose levels by providing ... -
Predicting monthly streamflow using artificial neural networks and wavelet neural networks models
(Springer, 2022)Improving predicting methods for streamflow series is an important task for the water resource planning, management, and agriculture process. This study demonstrates the development and effectiveness of a new hybrid model ... -
Prediction of engine performance and exhaust emissions using artificial neural network in a compression ignition engine fueled with butanol-diesel fuel
(Pamukkale Unıversity, 2018)In this study, engine performance and exhaust emission of a Diesel engine (CI) at full load and various speeds conditions using only Diesel fuel and five different blends with butanol (3, 6, 9, 12 and 15 v/v %) were modeled ... -
Prediction of Li-Ion Battery Discharge Patterns in IoT Devices Under Random Use Via Machine Learning Algorithms
(Oxford University Press, 2022)This study presents foreseeing of the Lithium-ion battery discharge models for the Internet of Things (IoT) devices under randomized use patterns. IoT systems run in harmony with the human-machine interface, communication ...