Yayıncı "Springer" Makale Koleksiyonu için listeleme
Toplam kayıt 7, listelenen: 1-7
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Circular Uncertainty method for range-only localization with imprecise sensor positions
(Springer, 2018)This study provides an effective new method to solve the range-only localization in the presence of sensor position errors. In practice, the sensors can stay only within a limited region whereas the target can be far from ... -
A comparative device performance assesment of CVD grown MoS2 and WS2 monolayers
(Springer, 2018)In this study, optical and electronic transport properties of chemical vapor deposition (CVD) grown 2D WS2 and MoS2 based transistors and photodetectors are investigated and compared in ambient air by using 2D flakes grown ... -
An Edge-Sensing Predictor in Wavelet Lifting Structures for Lossless Image Coding
(Springer, 2007)The introduction of lifting implementations for image wavelet decomposition generated possibilities of several applications and several adaptive decomposition variations. The prediction step of a lifting stage constitutes ... -
Extensive mode mapping and novel polarization filter design for ALD grown Al2O3 ridge waveguides
(Springer, 2016)In this work we report on realistic simulations aiming at extending our design knowledge on the fabrication and optimization of highly efficient integrated optical waveguide amplifiers. We focus specifically on atomic layer ... -
A geometrical closed form solution for RSS based far-field localization: Direction of Exponent Uncertainty
(Springer, 2019)In this study, a new powerful geometrical closed-form solution called Direction of Exponent Uncertainty (DEU) is proposed for received signal strength (RSS) based far-field localization when path loss exponent (PLE) and ... -
Missing wind data forecasting with adaptive neuro-fuzzy inference system
(Springer, 2009)In any region, to begin generating electricity from wind energy, it is necessary to determine the 1-year distribution characteristics of wind speed. For this aim, a wind observation station must be constructed and 1-year ... -
Speeding up the scaled conjugate gradient algorithm and its application in neuro-fuzzy classifier training
(Springer, 2010)The aim of this study is to speed up the scaled conjugate gradient (SCG) algorithm by shortening the training time per iteration. The SCG algorithm, which is a supervised learning algorithm for network-based methods, is ...