Başlık için Mühendislik ve Doğa Bilimleri Fakültesi listeleme
Toplam kayıt 136, listelenen: 124-136
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Synthesis of New Bisbenzimidazole Salts and Determination Their Ligand Activities in C-C Coupling Reactions
(Malatya Turgut Ozal University, 2020)New bisbenzimidazole salts were synthesized with 1,4-bis(1H-benzo[d]imidazol-1-yl)butane and benzyl halides. These new ligands carried out in Suzuki-Miyaura and Heck-Mizoroki C-C coupling reaction in the presence of ... -
Synthesis of New Bisbenzimidazole Salts and Determination Their Ligand Activities in C-C Coupling Reactions
(Malatya Turgut Özal Üniversitesi, 2020)New bisbenzimidazole salts were synthesized with 1,4-bis(1H-benzo[d]imidazol-1-yl)butane and benzyl halides. These new ligands carried out in Suzuki-Miyaura and Mizoroki-Heck C-C coupling reaction in the presence of ... -
Synthesis of NiO/SnO2 nanowires for energy applications
(Polska Akademia Nauk, 2020)In this study, SnO2 nanowire arrays with lengths in the micrometres range were successfully synthesised by using polyethylene glycol (PEG) at room temperature. Then Ni was coated onto the SnO2 nanowires by chemical ... -
TBDY-2018’deki Yerel Zemin Koşullarının Çelik Yapı Deprem Davranışına Etkisi Üzerine Bir Çalışma
(Bitlis Eren Üniversitesi, 2021)Depremlerin, yapılar üzerindeki etkilerini azaltmak adına yapı-zemin-deprem etkileşiminin gerçekçi olarak ortaya konulabilmesi önemlidir. Bu çalışma kapsamında, Türkiye Bina Deprem Yönetmeliğinde yer alan beş farklı yerel ... -
Temperature and Relative Humidity Models of The Malatya City
(Malatya Turgut Ozal University, 2020)In this study, the temperature changes Malatya provinces located in the Euphrates Basin are analyzed and modeled on the basis of 24 years of observation process (1996-2019). Relative humidity models were analyzed by observing ... -
Theoretical and experimental characterization of Pr/Ce co-doped hydroxyapatites
(Elsevier, 2021)This study presents a more extensive report on the experimental and theoretical characterization of the Ce-doped hydroxyapatite (HAp) samples additionally doped with Pr at varying amounts. To achieve this goal, four ... -
THERMAL AND MECHANICAL PROPERTIES OF BUILDING STONES IN AFYON AND KARAMAN REGION
(Bartın Üniversitesi, 2020)In this study, some of the physical properties of the Seydiler and Sorkun stones from Afyon and Kızılören and Kazım Karabekir stones from Karaman which have been used extensively as a building material in cities and even ... -
Two-stepped majority voting for efficient EEG-based emotion classification
(Springer, 2020)In this paper, a novel approach that is based on two-stepped majority voting is proposed for efficient EEG-based emotion classification. Emotion recognition is important for human-machine interactions. Facial features- and ... -
UC-merced image classification with CNN feature reduction using wavelet entropy optimized with genetic algorithm
(International Information and Engineering Technology Association, 2020)The classification of high-resolution and remote sensed terrain images with high accuracy is one of the greatest challenges in machine learning. In the present study, a novel CNN feature reduction using Wavelet Entropy ... -
Utilization of Lignite and Waste Biomass As a Clean Energy Source by Carbonization
(2021)Carbonization is the general name of the process of producing gas, liquid and solid products, especially from fossil fuels such as coal, by heating in an oxygen-free environment. Carbonization is one of the most important ... -
When machine learning meets fractional-order chaotic signals: detecting dynamical variations
(Elsevier, 2022)The challenge of classifying multivariate time series generated by discrete and continuous dynamical systems according to their chaotic or non-chaotic behavior has been studied extensively in the literature. The examination ... -
Wireless Communication Protocols for Project Developers in IoT Applications
(2021)The effective use of network technologies in IoT applications necessitates the determination and use of the most efficient wireless network protocols according to the application area and scope. A project developed with ... -
WSFNet: An efficient wind speed forecasting model using channel attention-based densely connected convolutional neural network
(Elsevier, 2021)This paper introduces a novel deep neural network (WSFNet) to efficiently forecast multi-step ahead wind speed. WSFNet forms the basis of the stacked convolutional neural network (CNN) with dense connections of different ...