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Novel hybrid pair recommendations based on a large-scale comparative study of concept drift detection 

Babüroğlu, Elif Selen; Durmuşoğlu, Alptekin; Dereli, Türkay (Elsevier Science, 2021)
During the classification of streaming data, changes in the underlying distribution make formerly learned models insecure and imprecise, which is known as the concept drift phenomenon. Online learning derives information ...
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Evaluation of hydrocarbon occurrences of Hatay with integrated methods, SE Turkey 

Turgay, S. Orkun; Yaşar, Ergül (Springer, 2021)
Abstract: Understanding the depositional and development of hydrocarbon reservoirs is fundamental process to hydrocarbon exploration. Typically, water samples and remote sensing methods from existing or potential reservoirs ...
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MWCNTs doped GFRPs drilling: crosscheck among holes obtained by alternative manufacturing methods 

Ceritbinmez, Ferhat; Özkan, Vildan; Saraçoğlu, Göksel; Yapıcı, Ahmet (Springer, 2021)
In this study, the holes of glass fiber reinforced polymer (GFRP) and multi-walled carbon nanotubes (MWCNTs) doped GFRP composite materials were drilled using abrasive water jet (AWJ), CO2 laser cutting, orbital drilling, ...
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Ground plane design configuration estimation of 4.9 GHz reconfigurable monopole antenna for desired radiation features using artificial neural network 

Alkurt, Fatih Özkan; Özdemir, Merve Erkınay; Akgöl, Oğuzhan; Karaaslan, Muharrem (Wiley, 2021)
This paper presents a system based on artificial neural network (ANN) that predicts ground plane design for desired radiation properties of a monopole antenna with operation band of 4.8 to 5 GHz. The operating frequency ...
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Estimation of wind energy power using different artificial intelligence techniques and empirical equations 

Mert, İlker; Üneş, Fatih; Karakuş, Cuma; Joksimovic, Darko (Taylor and Francis, 2021)
The understanding of the behavior of a wind turbine is difficult due to changes in weather conditions. To obtain the response of a wind turbine influenced by changes in both wind speed and its direction, using the ...
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An Investigation of Punching the MWCNTs Doped Composite Plates by Using Different Cutting Profiles 

Ceritbinmez, Ferhat; Yapıcı, Ahmet (University of Osijek, 2021)
In this study, glass fiber reinforced composite layers which are with and without additives of 0.1 wt.% multi walled carbon nanotubes (MWCNTs) of epoxy were manufactured by vacuum infusion method. Unlike the conventional ...
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Simulated and experimental verification of the microwave dual-band metamaterial perfect absorber based on square patch with a 45(0) diagonal slot structure 

Al-badri, Khalid Saeed Lateef; Abdulkarim, Yadgar I.; Alkurt, Fatih Özkan; Karaaslan, Muharrem (Taylor and Francis, 2021)
In this paper, we designed a dual band metamaterial perfect absorber (MPA) for Ku band applications. The overall ultrathin layer of proposed absorber consists of square patch with 450 diagonal slot structure within a copper ...
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Bidirectional DC–DC converter based multilevel battery storage systems for electric vehicle and large-scale grid applications: A critical review considering different topologies, state-of-charge balancing and future trends 

Eroğlu, Fatih; Kurtoğlu, Mehmet; Vural, Ahmet Mete (John Wiley and Sons Inc, 2021)
The expanding share of renewable energy sources (RESs) in power generation and rise of electric vehicles (EVs) in transportation industry have increased the significance of energy storage systems (ESSs). Battery is considered ...
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Compressive strength prediction models for cementitious composites with fly ash using machine learning techniques 

Sevim, Umur Korkut; Bilgiç, Hasan Hüseyin; Cansız, Ömer Faruk; Öztürk, Murat; Atiş, Cengiz Duran (Elsevier, 2021)
In this study, it was proposed a novel prediction model to predict compressive strength of mortar samples having different properties. For this purpose, 8 different fly ashes were used in mortar mixture as a replacement ...
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Gain Enhancement of a Traditional Horn Antenna using 3D Printed Square-Shaped Multi-layer Dielectric Lens for X-band Applications 

Belen, Aysu; Mahouti, Peyman; Güneş, Filiz; Tarı, Özlem (Applied Computational Electromagnetics Society Journal, 2021)
In this work, gain of a traditional horn antenna is enhanced up to 2.9 dB over X-band using 3D printed square-shaped multi-layer lens. For this purpose, firstly the multi-layer lenses are designed using Invasive Weed ...
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AuthorKaraaslan, Muharrem (7)Mahouti, Peyman (5)Alkurt, Fatih Özkan (4)Belen, Mehmet Ali (4)Akgöl, Oğuzhan (3)Bikçe, Murat (3)Erdem, Muhammet Musab (3)Yapıcı, Ahmet (3)Öztürk, Murat (3)Abdulkarim, Yadgar I. (2)... View MoreSubject
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Computer Science (8)Electrical & Electronic (8)Telecommunications (7)Materials Science (6)Physics (6)Metamaterials (5)Construction & Building Technology (4)Optimization (4)Buildings (3)... View MoreDate Issued
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