Browsing Araştırma Çıktıları by Publisher "IEEE"
Now showing items 21-40 of 58
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Fabric Defect Detection using Deep Learning
(IEEE, 2016)Fabric defect detection have importance in terms of sectoral quality. Automatic systems are developed on the defect detection, in this regard many methods are tried to obtain high precision with image processing studies. ... -
Fabric Defect Detection with LBP-GLMC
(IEEE, 2017)Fabric defect detection is vital for fabric quality. In the face of increasing fabric production, the fact that the detection of fabric faults by manpower is insufficient in terms of speed and quality has forced firms to ... -
Feature Selection for Protein Dihedral Angle Prediction
(IEEE, 2017)Three-dimensional structure prediction has crucial importance for bioinformatics and theoretical chemistry. One of the main steps of three-dimensional structure prediction is dihedral (torsion) angle prediction. As new ... -
Feature Selection Methods in Sentiment Analaysis
(IEEE, 2017)In today's technology, people are starting to share their opinions, ideas and feelings through many mediums because the internet is used extensively by every segment. These shares have become an important source of work ... -
Firing Rate Dependence of "Truncation Thresholds"
(IEEE, 2015)Single unit action potentials that are found in extracellular neural recordings are often detected using a threshold. The threshold is usually computed as proportional to the standard deviation of the entire recording. ... -
FPAA Implementation of CNN Based Chaos Generator
(IEEE, 2017)Recent times Field Programmable Analog Arrays (FPAAs) attracts attention among the reprogrammable and reconfigurable hardwares because of their flexible structure and analog outputs. Thus, a Celluar Neural Network (CNN) ... -
FPGA and FPAA Implementation of Switched-State-Controlled CNN Based Sprott C Chaos Generator
(IEEE, 2018)In this paper, a realization of Sprott-94-c system using Switch State Control Cellular Neural Network (SC-CNN) is presented In addition to simulation results, Field Programmable Gate Arrays (FPGAs) and Field Programmable ... -
FPGA Implementation of SC-CNN Based Chaos Generator
(IEEE, 2017)In this paper, a realization of the Switch State Control Cellular Neural Network (SC-CNN)-based chaos generator using Field Programmable Gate Arrays (FPGAs) is presented. In addition, the application results compared with ... -
A Fuzzy Inference System Design for Computer Aided Mass Detection in Digital Mammogram Images
(IEEE, 2015)Breast cancer is the most common cancer in women. A mammogram is an X-ray of the breast, using very low levels of radiation. Artificial intelligence and fuzzy inference techniques can be used in CAD systems. These systems ... -
A Fuzzy Inference System Design for Computer Aided Mass Detection in Digital Mammogram Images
(IEEE, 2015)Breast cancer is the most common cancer in women. A mammogram is an X-ray of the breast, using very low levels of radiation. Artificial intelligence and fuzzy inference techniques can be used in CAD systems. These systems ... -
Graph Based Automatic Document Summarization with Different Similarity Methods
(IEEE, 2017)Today, with the rapid increase in the use of the internet, thousands of resources can be reached about an information that is interested. However, it is difficult and time consuming to determine which of these sources is ... -
Harmonic Estimator Design Using Hybrid Particle Swarm Optimization
(IEEE, 2017)The demand for electrical energy is increasing day by day and achieving high quality energy is becoming very important subject. Especially, harmonics occurred in power systems not only reduce the quality of the energy but ... -
Heat Transfer Performance of Water Based Nanofluids Containing Various Types of Metal Oxide Nanoparticles in an Air-Cooled Microchannel Heat Exchanger
(IEEE, 2017)In the present study performance of air-cooled cross flow microchannel heat exchanger is analysed experimentally with various metal oxide type nanofluids. Types of the nanoparticles and their particle size are TiO2 (30 nm, ... -
High Performance Decoding of Behavioral Information from Background Activity in Extracellular Neural Recordings
(IEEE, 2018)The usual approach to extracting information from extracellular neural recordings is to set an amplitude threshold and extract the information contained in suprathreshold data. Subthreshold data, on the other hand, contain ... -
The Identification of Discriminative Single Nucleotide Polymorphism Sets for the Classification of Behcet's Disease
(IEEE, 2018)Behcet's disease is a long-term multisystem inflammatory disorder, characterized by recurrent attacks affecting several organs. As the genotyping individuals get cheaper and easier following the developments in genomic ... -
IIR Filter Paramater Estimation with ABC Algorithm for Mitral Valve Doppler Signal Denoising
(IEEE, 2015)Noise elimination is an important problem for biomedical signals like as mitral valve Doppler signals. In this work, mitral valve Doppler signal noise elimination realized with IIR filter. 4dB noise added mitral valve ... -
Implementation of COOK Communicating System With CNN Based Chaos Generator Using FPGA
(IEEE, 2016)In this study, Chaotic On-Off Keying (COOK) communication systems Cellular Neural Network (CNN) based programmable area with a chaos generator Field Programming Gate Array (FPGA) were performed using. As a result, hardware ... -
Implementation of CSK Communicating System With Switched SC-CNN Based Chaos Generator
(IEEE, 2017)In this study, Chaos Shift Keying (CSK) communication system, which is the first of Spread Spectrum communication samples, was realized by using different chaotic generators. This study investigates the effect of Switched ... -
Implementation of DCSK Chaotic Communicating System Using CNN Based Chaos Generator
(IEEE, 2016)In this study, an application of a Differential Chaos Shift Keying - DCSK spread spectrum communication system using a Cellular Neural Network - CNN based chaos generator is proposed. The system performance is demonstrated ... -
Indication of geohazard risk and economic value of gypsum deposits in the Tertiary Sivas Basin (Turkey) using ASTER and Landsat ETM plus images
(IEEE, 2005)The Tertiary Sivas Basin contains widespread, tectonically deformed deposits of massive Oligocene gypsum. This unit is one of the most important factors controlling the tectono-stratigraphic evolution of the basin insofar ...