Search Results - "Mutlu Avci"
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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
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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Investigation and comparison of graphene nanoribbon and carbon nanotube based SARS-CoV-2 detection sensors: An ab initio study
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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An ANN-Based Single Calibration Impedance Measurement System for Skin Impedance Range
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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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
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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Logarithmic Learning Differential Convolutional Neural Network
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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One pass learning for generalized classifier neural network
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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Novel multiwalled carbon nanotube (MWCNT) modified metal oxide semiconductor field effect transistor (MOSFET) based electrode for electrophysiological measurements on human skin
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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K nearest neighbor reinforced expectation maximization method
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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A hybrid classification method of k nearest neighbor, Bayesian methods and genetic algorithm
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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Logarithmic learning for generalized classifier neural network
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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Use of BDST and an ANN model for prediction of dye adsorption efficiency of Eucalyptus camaldulensis barks in fixed-bed system
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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Accurate SPICE compatible CNT interconnect and CNTFET models for circuit design and simulation
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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Generalized classifier neural network
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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Deep Convolutional Generalized Classifier Neural Network
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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Simple and accurate model for voltage–dependent resistance of metallic carbon nanotube interconnects: An ab initio study
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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Performance comparison of ANFIS, ANN, SVR, CART AND MLR techniques for geometry optimization of carbon nanotubes using CASTEP
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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Neural network modeling of voltage-dependent resistance of metallic carbon nanotube interconnects: An ab initio study
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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An improved Elmore delay model for VLSI interconnects
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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Neural network reinforced point defect concentration estimation model for Czochralski-grown silicon crystals
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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