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Now showing items 21-40 of 71

    • Deep Feature Extraction for Face Liveness Detection 

      Sengur, Abdulkadir; Akhtar, Zahid; Akbulut, Yaman; Ekici, Sami; Budak, Umit (Ieee, 2018)
      Face recognition is now widely being used to verify the identity of the person in various applications ranging from border crossing to mobile authentication. However, most face recognition systems are vulnerable to spoofing ...

    • Deep Learning based Face Liveness Detection in Videos 

      Akbulut, Yaman; Sengur, Abdulkadir; Budak, Umit; Ekici, Sami (Ieee, 2017)
      The human face is an important biometric quantity which can be used to access a user-based system. As human face images can easily be obtained via mobile cameras and social networks, user-based access systems should be ...

    • Deep Learning Researches in Turkey: An Academic Approach 

      Pala, Zeydin; Yamli, Veysi; Unluk, Ibrahim Halil (Ieee, 2017)
      Deep learning (DL) is deployed in Deep Neural Networks (DNNs), Recurrent Neural Networks (RNNs), Convolutional Neural Networks (CNNs), Deep Stacked Networks (DSNs), Deep Belief Networks (DBNs), and Deep Boltzmann Machines ...

    • Delta(alpha)-Deferred Statistical Convergence of Fractional Order 

      Aral, Nazlim Deniz; Kandemir, Hacer Sengul; Et, Mikail (Amer Inst Physıcs, 2021)
      In this paper, we introduce the concepts of Delta(alpha)-deferred statistical convergence with the fractional order of alpha and Delta(alpha) strongly convergence with the fractional order of alpha. Additionally, we give ...

    • Design and Implementation of A Single-Stage Full-Bridge DC/DC Converter with ZVS Mode 

      Diker, A.; Korkmaz, D.; Alcin, O. F.; Budak, U.; Gedikpinar, M. (Sprınger Internatıonal Publıshıng Ag, 2014)
      In this paper, a single-stage full-bridge converter with auxiliary circuit elements which allow its main power circuit switches to operate with ZVS mode is presented. By creating dead time between power switches and working ...

    • Determination of environmental gamma radiation in Bitlis 

      Bal, Sultan Sahin; Karatepe, Sule (E D P Scıences, 2015)
      In this study; the environmental gamma radiation at the various points (16 points) in the districts of and in Bitlis, where it was located in the Turkey Eastern Anatolia region, were measured. The environmental gamma ...

    • Determination of QT Interval on Synthetic Electrocardiogram 

      Comert, Zafer; Kocamaz, A. Fatih (Ieee, 2015)
      Electrocardiography is widely used for diagnosis and assessment of cardiovascular diseases. Heart rate is a major determinant of ventricular action potential. Therefore, the QT interval varies to be inversely proportional ...

    • Determination of R-peaks in ECG Signal Using Hilbert Transform and Pan-Tompkins Algorithms 

      Diker, Aykut; Avci, Engin; Gedikpinar, Mehmet (Ieee, 2017)
      Electrocardiogram (ECG) illustrates the electrical activity in the heart, and it is the most important physiological parameter that gives the correct assessment regarding the functioning of the heart. Accurate detection ...

    • Developing LSB Method Using Mask in Colored Images 

      Karabatak, Murat; Yigit, Yildiray (Ieee, 2018)
      The steganography word is derived from the combination of the steganos, which means covered, hidden or protected, and the graphein, which means writing. The main purpose of steganography studies is to prevent the hidden ...

    • Discrete Fractional Solutions of the Radial Equation of the Fractional Schrodinger Equation 

      Yilmazer, Resat; Ozturk, Okkes (Amer Inst Physıcs, 2017)
      One of the most popular research interests of science and engineering is the fractional calculus theory in recent times. Discrete fractional calculus (DFC) has also an important position in the fractional calculus. The ...

    • Energy Harvesting System with A Single-step Power Conversion Process Achieving Peak Efficiency of 79.1% 

      Umaz, Ridvan (Ieee, 2020)
      Energy harvesting interface circuit with a single-step power conversion process is presented in this paper. The energy harvesting system is at the interface between the ambient energy source and the load. The proposed ...

    • Epilepsy Detection using a Naive Signal Decomposition Method Combined with Fractal Dimension 

      Polat Dautov, Cigdem; Ozerdem, Mehmet Sirac (Ieee, 2018)
      Electrodes attached to the surface of the scalp can measure Electroencephalogram (EEG) signals that are electrical impulses produced by nerves in the brain [1]. EEG signals are useful for doing deductions about the mental ...

    • ESTIMATING SOLAR RADIATION BY MACHINE LEARNING METHODS 

      Ertugrul, Edip; Sahin, Mehmet; Aggun, Fikri (Ieee, 2015)
      Solar energy, which is clean and renewable energy source, is a popular subject. The estimation of solar radiation can be done instead of long term measurements. Therefore, the satellite and meteorological values of 53 ...

    • Extractive Text Summarization via Graph Entropy 

      Hark, Cengiz; Uckan, Taner; Seyyarer, Ebubekir; Karci, Ali (Ieee, 2019)
      There is growing interest in automatic summarizing systems. This study focuses on a subtractive, general and unsupervised summarization system. It is provided to represent the texts to be summarized with graphs and then ...

    • Feature Extraction of ECG Signal by using Deep Feature 

      Diker, Aykut; Avci, Engin (Ieee, 2019)
      The analysis and classification of Electrocardiogram (ECG) signals have become very important tool to diagnose of heart disorders. Computer-aided techniques are generally used to classify biomedical application areas. In ...

    • Fetal Hypoxia Detection Based on Deep Convolutional Neural Network with Transfer Learning Approach 

      Comert, Zafer; Kocamaz, Adnan Fatih (Sprınger Internatıonal Publıshıng Ag, 2019)
      Electronic fetal monitoring (EFM) device which is used to record Fetal Heart Rate (FHR) and Uterine Contraction (UC) signals simultaneously is one of the significant tools in terms of the present obstetric clinical ...

    • Food Image Classification with Deep Features 

      Sengur, Abdulkadir; Akbulut, Yaman; Budak, Umit (Ieee, 2019)
      In this paper, deep feature extraction, feature concatenation and support vector machine (SVM) classifier are used for efficient classification of food images. Classification of foods according to their images becomes a ...

    • Graph-Based Suggestion For Text Summarization 

      Hark, Cengiz; Uckan, Taner; Seyyarer, Ebubekir; Karci, Ali (Ieee, 2018)
      One of the methods of text summarization within the context of Natural Language Processing (NLP) works is to summarize the text by selecting sentences from the original text. There are different approaches to summarize ...

    • Hand Gesture Recognition From Kinect Depth Images 

      Yeloglu, Zeynep; Akbulut, Yaman; Budak, Umit; Sengur, Abdulkadir (Ieee, 2015)
      In this study, hand gesture classification method based on depth images is proposed. The proposed method is composed of thresholding, feature extraction, feature selection and classification stages. Hand segmentation on ...

    • Harmonic Filter Application for an Industrial Installation 

      Efe, Serhat Berat (Ieee, 2015)
      In this paper, harmonic analysis and passive filter design for an industrial installation is presented. A system is designed under MATLAB / Simulink platform that consist of universal bridge with pulse generator to supply ...