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Toplam kayıt 108, listelenen: 1-10
Fabrication of flexible, cost-effective, and scalable silver substrates for efficient surface enhanced Raman spectroscopy based trace detection
(Elsevier, 2021)
The fabrication and optimization of cost-effective, eco-friendly, uniform and flexible SERS platforms by facile synthesis routes has recently attracted great attention for trace detection of various analytes. Herein, we ...
Long term wind speed estimation for a randomly selected time interval by using artificial neural networks, Amasra, Turkey
(Sila Science, 2012)
In this study, a new ANN estimation model has been developed in order to estimate wind speed in the long term. The data used in the model developed for this study was provided from the wind station in the province of Amasra, ...
Prediction of sodium absorption ratio (SAR) in groundwater with the aid of artificial neural networks: The east aquifer of ergene basin
(TMMOB - Jeoloji Muhendisleri Odasi, 2016)
Groundwater is used for drinking and irrigation purposes in many parts of the world. Irrigation practices result in the deterioration of the quality of the groundwater over the time and this adversely affects the human ...
Sparsity regularized recursive total least-squares
(Academic Press Inc Elsevier Science, 2015)
This paper introduces a new family of recursive total least-squares (RTLS) algorithms for identification of sparse systems with noisy input vector. We regularize the RTLS cost function by adding a sparsifying term and ...
MRI reconstruction with joint global regularization and transform learning
(Pergamon-Elsevier Science Ltd, 2016)
Sparsity based regularization has been a popular approach to remedy the measurement scarcity in image reconstruction. Recently, sparsifying transforms learned from image patches have been utilized as an effective regularizer ...
Hyperjerk multiscroll oscillators with megastability: Analysis, FPGA implementation and a novel ANN-ring-based True Random Number Generator
(Elsevier Gmbh, 2019)
Metastable oscillators are a special case of chaotic attractors with infinite coexisting attractors. In this paper we propose a class of hyperjerk chaotic oscillators which exhibits megastability with and without forcing ...
Analysis of wind turbine blade deformation with STFT method
(Sila Science, 2012)
This study is intended for investigating electrical and mechanical faults of electro-mechanical systems in wind turbine. In the study, generator rotor speed, generator torque and gear torque occurred as a result of possible ...
A novel ANN-based four-dimensional two-disk hyperchaotic dynamical system, bifurcation analysis, circuit realisation and FPGA-based TRNG implementation
(Inderscience Enterprises Ltd, 2020)
This paper describes the modelling, bifurcation analysis, circuit realisation and FPGA implementation of a novel ANN-based four-dimensional two-disk dynamical system exhibiting hyperchaos and hidden attractor. This paper ...
Detection of Ferroresonance Phenomenon for the west Anatolian Electric Power Network in Turkey
(2011)
Ferroresonance is an electrical phenomenon in nonlinear character, which frequently occurs in power systems containing saturable transformers and single or more phase switching on the lines for the disjunction of the loads. ...
Determination of Optimum Operation Cases in Electric Arc Welding Machine Using Neural Network
(2011)
With arc welding machines, welding is only performed at optimum operating points. Determination of optimum operating points is important so as for welding machines which will be produced in future to be developed in a ...