Search Results - "Mutlu Avci"

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  1. 1

    Density functional theory computation of the binding free energies between various mutations of SARS-CoV-2 RBD and human ACE2: molecular level roots of the contagiousness by Yamacli, Serhan, Avci, Mutlu

    Published in Heliyon (01-08-2022)
    “…The receptor-binding domain (RBD) of SARS-CoV-2 attaches to the human ACE2 to initiate binding of SARS-CoV-2 to human cell and leads to the infection process…”
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    Journal Article
  2. 2

    Investigation and comparison of graphene nanoribbon and carbon nanotube based SARS-CoV-2 detection sensors: An ab initio study by Yamacli, Serhan, Avci, Mutlu

    Published in Physica. B, Condensed matter (01-01-2023)
    “…The rapid detection of SARS-CoV-2, the pathogen of the Covid-19 pandemic, is obviously of great importance for stopping the spread of the virus by detecting…”
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    Journal Article
  3. 3

    An ANN-Based Single Calibration Impedance Measurement System for Skin Impedance Range by Istanbullu, Mustafa, Avci, Mutlu

    Published in IEEE sensors journal (01-02-2021)
    “…Impedance measurement has been widely used as an effective indicator for characterizing samples. Traditional high accuracy impedance analyzers are complicated,…”
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    Journal Article
  4. 4

    Computation of the Binding Energies between Human ACE2 and Spike RBDs of the Original Strain, Delta and Omicron Variants of the SARS‐CoV‐2: A DFT Simulation Approach by Yamacli, Serhan, Avci, Mutlu

    Published in Advanced theory and simulations (01-12-2022)
    “…The receptor binding domain (RBD) of SARS‐CoV‐2 binds to human ACE2 leading to infection. In this study, the complexes that are formed by the attachment of the…”
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    Journal Article
  5. 5

    Logarithmic Learning Differential Convolutional Neural Network by Yasin, Magombe, Sarıgül, Mehmet, Avci, Mutlu

    Published in Neural networks (01-04-2024)
    “…Convolutional Neural Networks (CNNs) have revolutionized image classification through their innovative design and training methodologies in computer vision…”
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  6. 6

    One pass learning for generalized classifier neural network by Ozyildirim, Buse Melis, Avci, Mutlu

    Published in Neural networks (01-01-2016)
    “…Generalized classifier neural network introduced as a kind of radial basis function neural network, uses gradient descent based optimized smoothing parameter…”
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  7. 7

    Novel multiwalled carbon nanotube (MWCNT) modified metal oxide semiconductor field effect transistor (MOSFET) based electrode for electrophysiological measurements on human skin by Istanbullu, Mustafa, Avci, Mutlu

    Published in Instrumentation science & technology (03-09-2019)
    “…Standard electrodes for electrophysiological signal acquisition in clinical applications such as electrocardiography or electromyography require the use of…”
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    Journal Article
  8. 8

    K nearest neighbor reinforced expectation maximization method by Aci, Mehmet, Avci, Mutlu

    Published in Expert systems with applications (15-09-2011)
    “…► A data elimination approach is proposed to improve data clustering. ► Based on hybridization of k nearest neighbor and expectation maximization algorithms. ►…”
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    Journal Article
  9. 9

    A hybrid classification method of k nearest neighbor, Bayesian methods and genetic algorithm by Aci, Mehmet, İnan, Cigdem, Avci, Mutlu

    Published in Expert systems with applications (01-07-2010)
    “…k Nearest neighbor, Bayesian methods and genetic algorithms are effective methods of machine learning. In this work a hybrid method is formed by using these…”
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  10. 10

    Logarithmic learning for generalized classifier neural network by Ozyildirim, Buse Melis, Avci, Mutlu

    Published in Neural networks (01-12-2014)
    “…Generalized classifier neural network is introduced as an efficient classifier among the others. Unless the initial smoothing parameter value is close to the…”
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    Journal Article
  11. 11

    Use of BDST and an ANN model for prediction of dye adsorption efficiency of Eucalyptus camaldulensis barks in fixed-bed system by Balci, Behzat, Keskinkan, Olcayto, Avci, Mutlu

    Published in Expert systems with applications (01-01-2011)
    “…► In this study, the BDST model was used in an attempt to obtain a mathematical description of the adsorption of Basic Blue 41 (BB41) and Reactive Black 5…”
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  12. 12

    Accurate SPICE compatible CNT interconnect and CNTFET models for circuit design and simulation by Yamacli, Serhan, Avci, Mutlu

    Published in Mathematical and computer modelling (01-07-2013)
    “…SPICE compatible CNT interconnect and CNTFET models in Verilog-A hardware description language are presented in this paper. Metallic CNTs are shown to have…”
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  13. 13

    Generalized classifier neural network by Ozyildirim, Buse Melis, Avci, Mutlu

    Published in Neural networks (01-03-2013)
    “…In this work a new radial basis function based classification neural network named as generalized classifier neural network, is proposed. The proposed…”
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  14. 14

    Deep Convolutional Generalized Classifier Neural Network by Sarigul, Mehmet, Ozyildirim, B. Melis, Avci, Mutlu

    Published in Neural processing letters (01-06-2020)
    “…Up to date technological implementations of deep convolutional neural networks are at the forefront of many issues, such as autonomous device control,…”
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  15. 15

    Simple and accurate model for voltage–dependent resistance of metallic carbon nanotube interconnects: An ab initio study by Yamacli, Serhan, Avci, Mutlu

    Published in Physics letters. A (28-12-2009)
    “…In this work, development of a voltage dependent resistance model for metallic carbon nanotubes is aimed. Firstly, the resistance of metallic carbon nanotube…”
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  16. 16

    Performance comparison of ANFIS, ANN, SVR, CART AND MLR techniques for geometry optimization of carbon nanotubes using CASTEP by Mehmet Aci, Cigdem Inan Aci, Mutlu Avci

    Published in Turkish Journal of Engineering (TUJE) (01-09-2018)
    “…Density Functional Theory (DFT) calculations used in the Carbon Nanotubes (CNT) design take a very long time even in the simulation environment as it is well…”
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  17. 17

    Neural network modeling of voltage-dependent resistance of metallic carbon nanotube interconnects: An ab initio study by Yamacli, Serhan, Avci, Mutlu

    Published in Expert systems with applications (01-12-2010)
    “…In this work, development voltage-dependent resistance models of metallic carbon nanotubes for computer aided design tools is aimed. Firstly, the resistance of…”
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  18. 18

    An improved Elmore delay model for VLSI interconnects by Avci, Mutlu, Yamacli, Serhan

    Published in Mathematical and computer modelling (01-04-2010)
    “…Elmore delay metric is a widely used model to compute signal delays for both analog and digital circuit interconnects. Although it provides a limited accuracy…”
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  19. 19

    Neural network reinforced point defect concentration estimation model for Czochralski-grown silicon crystals by Avci, Mutlu, Yamacli, Serhan

    Published in Mathematical and computer modelling (01-04-2010)
    “…The point defects are the most important and fundamental components of silicon microdefects. Modeling and estimation of their concentration has ever increasing…”
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