Bilgisayar Mühendisliği: Recent submissions
Now showing items 41-60 of 104
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Deep Learning with ConvNet Predicts Imagery Tasks Through EEG
(Springer, 2021)Deep learning with convolutional neural networks (ConvNets) has dramatically improved the learning capabilities of computer vision applications just through considering raw data without any prior feature extraction. Nowadays, ... -
A fully distributed energy-aware multi-level clustering and routing for WSN-based IoT
(Wiley, 2021)One of the major problems in wireless sensor networks (WSNs) is that resource-constrained sensor nodes consume their limited batteries quickly due to long-distance data communications. The communication distance of the ... -
Üçüncü Dereceden Yeni Bir Quadrature Osilatör Tasarımı
(Uludağ Üniversitesi Mühendislik Fakültesi, 2019)Bu çalışmada,son zamanlarda oldukça fazla dikkat çeken bir aktif eleman olan Terslenmiş Akım Geri Beslemeli İşlemsel Yükselteç (ICFOA) kullanılarak üçüncü dereceden quadrature osilatör devresi sunulmuştur. Topoloji iki ... -
A collocation method for solving boundary value problems of fractional order
(Sakarya Üniversitesi, 2018)In this work, the Sinc-Collocation Method (SCM) is used to find the approximate solutions of the secondorder fractional boundary value problems based on the conformable fractional derivative. For this purpose, a theorem ... -
Deep Learning-based Mammogram Classification for Breast Cancer
(International Journal of Intelligent Systems and Applications in Engineering, 2020)Deep Learning (DL) is a rising field of researches in last decade by exposing a hybrid analysis procedure including advanced level image processing and many efficient supervised classifiers. Robustness of the DL algorithms ... -
A deep learning architecture for identification of breast cancer on mammography by learning various representations of cancerous mass
(Springer, 2021)Deep Learning (DL) is a high capable machine learning algorithm with the detailed analysis abilities on images. Although DL models achieve very high classification performances, the applications are trending on using and ... -
Approximate analytical solutions of a class of non-linear fractional boundary value problems with conformable derivative
(Serbian Society of Heat Transfer Engineers, 2021)In this paper, it is presented that an approximate solution of a class of non-linear differential equations with conformable derivative under boundary conditions by using sinc-Galerkin method that is not used to approximately ... -
PID sliding surface-based adaptive dynamic second-order fault-tolerant sliding mode control design and experimental application to an electromechanical system
(Taylor and Francis, 2021)In this paper, an adaptive dynamic PID sliding surface-based second-order fault-tolerant sliding mode controller for speed control of an electromechanical system is proposed. The paper aims to show how to utilise the robust ... -
SecureDeepNet-IoT: A deep learning application for invasion detection in industrial Internet of Things sensing systems
(Wiley, 2021)Deep learning (DL) is a special field of artificial intelligence that has increased its use in various fields and has proved its effectiveness in classification. The feasibility of using many hidden layers and many neurons ... -
A numerical method for solution of integro-differential equations of fractional order
(Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 2017)In this study, sinc-collocation method is introduced for solving Volterra integro-differential equations of fractional order. Fractional derivative is described in the Caputo sense often used in fractional calculus. Obtained ... -
Localization and Point Cloud Based 3D Mapping with Autonomous Robots
(Avrupa Bilim ve Teknoloji Dergisi, 2019)In this study, localization and environment mapping application is aimed with an autonomous robot. A new algorithm is presented to scan a larger area, to produce faster and more accurate results. The mapping process is ... -
DeepGraphNet: Grafiklerin Sınıflandırılmasında Derin Öğrenme Modelleri
(Avrupa Bilim ve Teknoloji Dergisi, 2019)Grafik sınıflandırma modeli henüz yeni bir araştırma alanı olarak ön plana çıkan bir görüntü işleme yaklaşımıdır. Özellikle verilerin görselleştirilmesi ve kolay okunabilirliğini sağlamak için tercih edilen grafikler, ... -
Dynamic coefficient-based cluster head election in wireless sensor networks
(Pamukkale Üniversitesi, 2020)Owing to the fact that the selection of cluster heads has a significant effect on the lifetime of the network, many researches have proposed various cluster head election methodologies for cluster-based WSNs. Although ... -
Chronic obstructive pulmonary disease severity analysis using deep learning on multi-channel lung sounds
(Türkiye Klinikleri, 2020)Chronic obstructive pulmonary disease (COPD) is one of the deadliest diseases which cannot be treated but can be kept under control in certain stages. COPD has five severities, including at-risk, mild, moderate, severe, ... -
Deep Learning on Computerized Analysis of Chronic Obstructive Pulmonary Disease
(Institute of Electrical and Electronics Engineers Inc., 2020)Goal: Chronic obstructive pulmonary disease (COPD) is one of the deadliest diseases in the world. Because COPD is an incurable disease and requires considerable time to be diagnosed even by an experienced specialist, it ... -
Current Operational Amplifier Based Voltage-Mode MOS-C All-Pass Filter and Its Application
(Gazi Üniversitesi, 2020)In this work, a novel first order voltage-mode all-pass filter employing single active element named current operational amplifier (COA), two resistors, one capacitor and it's application as sinusoidal oscillator is ... -
A new MOS-C multifunction filter and its third order oscillator application
(Elsevier, 2020)This paper introduces a novel multifunction filter employing single current operational amplifier (COA) with MOS-C implementation and a third order sinusoidal oscillator as its application. The proposed topology provides ... -
Videolara saklanmış 25. kare etkisinin EEG sinyalleri yardımı ile tespit edilmesi
(İskenderun Teknik Üniversitesi / Mühendislik ve Fen Bilimleri Enstitüsü / Elektrik-Elektronik Mühendisliği Anabilim Dalı, 2019)Hayatımızın her yerinde karşımıza çıkan videolar, bir dizi resim dosyasının ardışık olarak dizilmesi sonucu ortaya çıkan görüntü kümesidir. Videonun her 1 saniyesinde görüntülenen resim sayısı Frame Per Second (Fps) olarak ... -
Position resolution study at high energies of a sampling electromagnetic calorimeter whose active material is a scintillator with Peroxide-cured polysiloxane base
(Elsevier, 2020)This study is based on the simulation for the position resolution performances of a sampling electromagnetic calorimeter with a Peroxide-cured polysiloxane based scintillator as an active material. Various algorithms and ... -
LMI-Based Sliding Mode Control Design and Experimental Application to an Electromechanical Plant
(Ieee, 2019)Recently, sliding mode control because of convenience and robustness has become a preferred method. In this paper, LMI-based sliding mode controller is designed for speed control of Precision Modular Servo experiment (PMS). ...
