Güncel Gönderiler: Mühendislik Fakültesi / Faculty of Engineering
Toplam kayıt 459, listelenen: 181-200
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EEG Sinyallerinin Sınıflandırılmasında Evrimsel Öznitelik Seçim Metotlarının Kullanılması
(Marmara Üniversitesi, 2021)Elektroensefalografi beyindeki elektriksel akımın ölçülmesi ile elde edilen sinyallerdir. Bu sinyallerin sınıflandırılması özellikle beyin sinyalleri ile ilgili rahatsızlıkların teşhis, tanı ve tedavisine katkı sağladığı ... -
A Study on Earthquake Performances of Reinforced Concrete Buildings with Various Number of Stories
(Golden Light Publishing, 2021)Seismic codes generally require that the Equivalent Seismic Load Method or the Modal Response Spectrum Method is adopted in the design of buildings. In the equivalent seismic load method, the equivalent seismic static ... -
Extended Describing Function Modeling and Closed-Loop Control of LLC Converter in Battery Charging Applications
(Institute of Electrical and Electronics Engineers (IEEE), 2021)The variable switching frequency control of LLC converters makes the modeling and compensator design rather a difficult task. In this paper, an extended describing function modeling that can represent the beat frequency ... -
Iterative Enhanced Multivariance Products Representation for Effective Compression of Hyperspectral Images
(IEEE, November 2)Effective compression of hyperspectral (HS) images is essential due to their large data volume. Since these images are high dimensional, processing them is also another challenging issue. In this work, an efficient lossy ... -
Statistical Assessment of Interbasin Water Transfer for Karst Areas (Turkey)
(Saudi Society for Geosciences, 2021)The intensification of drought and unsustainable management of water resources has caused increasing demand for water resources. Interbasin water transfer has been implemented as an alternative solution method to this ... -
Simplified Method to Analyze Drive Strengths for GaN Power Devices
(IEEE, 2021)GaN power switches enable ultra-fast switching speeds, yet, the maximum gate drive strength is mainly limited by the voltage overshoot across drain-source junction. There is a complex relationship between the power loop ... -
Efficiency and Power Density Optimization of Three-Level TP PFC
(IEEE, 2021)Si based three-level (3L) totem-pole (TP) Power Factor Correction (PFC) topology is a low cost alternative to two-level TP PFC with wide-band gap devices providing high power density and high efficiency. This study ... -
Analytical Modelling and Optimization of Gapped Core Magnetics in LLC Converter
(IEEE, 2021)LLC converter design remains a challenging task as it is not straight-forward to choose the switching frequency range that can provide ZVS covering application dependent voltage gains, considering the fact that it is a ... -
System-Level Design Approach for LLC Converters
(IEEE, 2021)LLC resonant converters are designed with a specified resonant frequency that is usually determined based on the experience of the designers while impacting the losses and the dimension of the converter. In this paper, ... -
GraphQL Sorgu Oluşturma Sürecinde Kullanılan Araç ve Yöntemlerin Analizi ve İyileştirilmesi
(Marmara University Journal of Science, 2021)Günümüzde yaşanan teknolojik gelişmeler, İnternete bağlanan toplam cihaz tür ve sayısında büyük bir artışa yol açmıştır. Sunucu makineler daha fazla istek almaya başlamış hem ağ trafiği hem de sunucu yanıt süresi olumsuz ... -
Assessment of Optimum Renewable Energy System for the Somalia–Turkish Training and Research Hospital in Mogadishu
(MERC, 2021)Somalia–Turkish Training and Research Hospital in Mogadishu, is only powered by diesel generator currently. In this paper, the energy demand of this hospital is utilized by determining the optimum hybrid renewable energy ... -
Iris Segmentation in Uncooperative and Unconstrained Environments: State-of-the-art, Datasets and Future Research Directions
(Elsevier, 2021)Most of the classical iris recognition systems require cooperation from users and assume ideal conditions during iris image acquisition. In uncooperative and unconstrained environments, the performance of these classical ... -
Boiling Heat Transfer Simulation in Rectangular Mili-Channels
(Yıldız Teknik Üniversitesi, 2021)Due to the high heat transfer coefficient and compactness of a system, mili-channel-based cooling and heating techniques are greatly expected to be distributing high heat flux from the electronic devices. In terms of ... -
Neural Network Based Android Malware Detection with Different IP Coding Methods
(IEEE, 2021)Due to the COVID-19 epidemic that has affected the whole world, internet use has increased more than in previous years. Almost all operations and transactions are done over the internet, especially with the use of ... -
A Macrocyclic Tetra‑Undecyl Calix[4]Resorcinarene thin Film Receptor for Chemical Vapour Sensor Applications
(Springer, 2020)This work demonstrates the fabrication of chemical vapour sensors using Langmuir–Blodgett (LB) thin films, describing the thin film properties of a tetra-undecyl calix[4]resorcinarene molecule along with a discussion of ... -
Dünyada ve Uydularda Yaşam
(Dünya Gazetesi, 2021)Geçen asrın ikinci yarısında Ay çalışmaları çok önemsenmişti ve yaşamın izlerini bulma adına faaliyetler yürütüldü. 20 Temmuz 1969'da Ay'a ilk ayak basan insan olan Neil Armstrong, ıssız uydudan dünyaya kaya parçaları ... -
5.Nesil Haberleşme Sistemleri İçin Metamalzeme Tabanlı MIMO Anten Tasarımı
(IEEE, 2021)Bu çalışmada; 5. nesil haberleşme sistemleri için 28 GHz frekans bandında, metamalzeme tabanlı, 4 portlu MIMO anten tasarlanmıştır. İlk olarak, 50 Ω empedans değerine sahip mikroşerit besleme hattının tek tarafına ... -
Az Örnekli Öğrenme ile Mikroskobik Görüntülerden Maya Hücresi Segmentasyonu
(IEEE, 2021)Mikroskobik görüntülerden otomatik hücre segmentasyonu, derin sinir ağları veya görüntü işleme teknikleri kullanılarak yapılabilmektedir. Bu tekniklerin ayrı ayrı problemleri ve zorlukları bulunmakla birlikte özellikle ... -
Derin Sinir Ağları Kullanarak Medikal Görüntü Bölütleme
(IEEE, 2021)Medikal görüntülerin otomatik bölütlenmesi, bu görüntüler kullanılarak çeşitli hastalıkların teşhis edilmesinde önemli bir rol oynamaktadır. Görüntü bölütleme, bir çok medikal görüntüye ayrı ayrı uygulanarak farklı ... -
An Improved Bees Algorithm for Training Deep Recurrent Networks for Sentiment Classification
(MDPI, 2021)Recurrent neural networks (RNNs) are powerful tools for learning information from temporal sequences. Designing an optimum deep RNN is difficult due to configuration and training issues, such as vanishing and exploding ...
