Konu "Artificial intelligence" için Araştırma Çıktıları | Web of Science İndeksli Yayınlar Koleksiyonu listeleme
Toplam kayıt 16, listelenen: 1-16
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Artificial Intelligence Applications for Friction Stir Welding: A Review
(Korean Institute of Metals and Materials, 2020)Advances in artificial intelligence (AI) techniques that can be used for different purposes have enabled it to be used in many different industrial applications. These are mainly used for modeling, identification, optimization, ... -
Artificial intelligence based active and reactive power control method for single-phase grid connected hydrogen fuel cell systems
(Elsevier, 2023)In grid-connected power generation systems, power factor fluctuations caused by non-linear power circuits used between the grid and source should be controlled with the help of voltage source inverters (VSI). In addition, ... -
Channel selection from EEG signals and application of support vector machine on EEG data
(Institute of Electrical and Electronics Engineers Inc., 2017)In this study, EEG data recorded during mental arithmetic operations and silent reading were analyzed by discrete wavelet transform and feature vectors were obtained. The obtained feature vectors are classified by Support ... -
A comparative study on daily evapotranspiration estimation by using various artificial intelligence techniques and traditional regression calculations
(American Institute of Mathematical Sciences, 2023)Evapotranspiration is an important parameter to be considered in hydrology. In the design of water structures, accurate estimation of the amount of evapotranspiration allows for safer designs. Thus, maximum efficiency can ... -
Data driven surrogate modeling of horn antennas for optimal determination of radiation pattern and size using deep learning
(Wiley, 2023)Horn antenna designs are favored in many applications where ultra-wide-band operation range alongside of a high-performance radiation pattern characteristics are requested. Scattering-parameter characteristics of antennas ... -
Data-driven modeling of band-pass filter for sub-5G applications
(Wiley, 2023)Radiofrequency noise is one of the challenging problems in the design of high-performance wireless communication systems, for which microstrip band-pass filters are one of the most commonly used design solutions for this ... -
Gen ifade profilleri kullanılarak pankreas kanserinin örüntü tanıma yöntemleri ile teşhisi
(Institute of Electrical and Electronics Engineers Inc., 2017)Pancreatic cancer is the fourth most common cause of cancer-related deaths across the globe and it is one of the most difficult cancer types to recognize early. Early diagnosis of pancreatic cancer is crucial to increase ... -
Intelligent control of high energy efficient two-stage battery charger topology for electric vehicles
(Pergamon-Elsevier Science Ltd, 2019)The energy efficiency of the battery charging system directly affects the distance which electric vehicles can get with per charge process. In addition, reducing current harmonics distortion (THD) increases the electrical ... -
Kablosuz algılayıcı ağlarda düğümlerin kapsama yarıçapının ağ ömrüne etkisi
(Institute of Electrical and Electronics Engineers Inc., 2017)Kablosuz algılayıcı ağlarda (KAA) ağ ömrünün iyileştirilmesi için kümeleme ve yönlendirme algoritmalarının yanısıra performans parametreleri de oldukça önemlidir. Düğüm sayısı, ağ alanı ve düğümlerin kapsama yarıçapı gibi ... -
Makine Öğrenmesini Kullanarak Solunum Sesinin Analizinin Değerlendirilmesi
(Institute of Electrical and Electronics Engineers Inc., 2017)Solunum seslerinin oskültasyonu, pulmoner bozukluklar ve bazı kardiyak bozuklukların teşhisi için göğüs ve sırttan dinlenen sesler için kullanılan ucuz ve etkili bir yöntemdir. Günümüzde bilgisayar destekli analiz ve ... -
Optimal design of transmitarray antennas via low-cost surrogate modelling
(Nature Research, 2023)Over the recent years, reflectarrays and transmitarrays have been drawing a considerable attention due to their attractive features, including a possibility of realizing high gain and pencil-like radiation patterns without ... -
Optimising ship manoeuvring time during port approach using a decision support system: a case study in Turkey
(Taylor and Francis Ltd., 2022)Any cost reductive initiative is significant to contribute to the overall viability and economic sustainability of the industry. Therefore, it is worthy to study time and cost efficiency of ship manoeuvring when approaching ... -
Performance & emission analysis of HHO enriched dual-fuelled diesel engine with artificial neural network prediction approaches
(Elsevier, 2020)Most of the studies on conventional fuel types that can be used in internal combustion engines have been made in order to improve performance values. Nowadays environmental problems have shown that emission values are more ... -
Performance & emission analysis of HHO enriched dual-fuelled diesel engine with artificial neural network prediction approaches
(Elsevier, 2020)Most of the studies on conventional fuel types that can be used in internal combustion engines have been made in order to improve performance values. Nowadays environmental problems have shown that emission values are more ... -
Pull-out capacity prediction of sustainable cementitious composites with artificial intelligence and statistical methods
(Wiley, 2023)Concrete is used with reinforcement in structures so adherence gains importance especially in fire scenarios. To contribute production of sustainable concrete, by-products like granulated blast furnace slag, fly ash, and ... -
Webcam Based Real-Time Robust Optical Mark Recognition
(Springer, 2015)This study proposes a robust, low cost, real-time optical mark recognition (OMR) system that uses a webcam and a small OMR form to read hand-marked data from plain paper. The system is designed to read data from any ...