Classification of the temperature-dependent gain of an erbium-doped fiber amplifier by using data mining methods
In this study, the experimental results of an erbium-doped fiber amplifier (EDFA) system
designed and experimentally installed in the C-band were classified by using data mining …
designed and experimentally installed in the C-band were classified by using data mining …
Experimental analysis and ANFIS modeling of optical properties and band gap engineering in Se–Te–Ge film composition and insights into its photonic applications
RA Mohamed, HE Atyia - The European Physical Journal Plus, 2024 - Springer
The current research presents an experimental and theoretical approach for the optical
behavior of Se–Ge–Te material using the adaptive neuro-fuzzy inference system ANFIS …
behavior of Se–Ge–Te material using the adaptive neuro-fuzzy inference system ANFIS …
A neural network design for the estimation of nonlinear behavior of a magnetically-excited piezoelectric harvester
An application of an artificial neural network (ANN) has been implemented in this article to
model the nonlinear relationship of the harvested electrical power of a recently developed …
model the nonlinear relationship of the harvested electrical power of a recently developed …
Gain and noise figure analysis of erbium doped fiber amplifier based on double pass configuration using forward pumping
In this paper, gain and noise figure of Erbium Doped Fiber Amplifier (EDFA) is analyzed
based on double pass with Wave Selective Coupler (WSC). The main contribution in this …
based on double pass with Wave Selective Coupler (WSC). The main contribution in this …
Adaptive Neuro-Fuzzy Based Gain Controller for Erbium-Doped Fiber Amplifiers.
Erbium-doped fiber amplifiers (EDFA) must have a flat gain profile which is a very important
parameter such as wavelength division multiplexing (WDM) and dense WDM (DWDM) …
parameter such as wavelength division multiplexing (WDM) and dense WDM (DWDM) …
A new classification approach with deep mask r-cnn for synthetic aperture radar image segmentation
In this paper, a hybrid classification approach which is combined with a more deep mask
region-convolutional neural network and sparsity driven despeckling algorithm is proposed …
region-convolutional neural network and sparsity driven despeckling algorithm is proposed …
Region-based segmentation of terrain fields in SAR images
Synthetic Aperture Radar (SAR) is widely used in a lot of areas in nowadays. Image
segmentation is very difficult in SAR images due to image speckles and pixel similarities …
segmentation is very difficult in SAR images due to image speckles and pixel similarities …
Design and implementation of fuzzy logic based automatic gain controller for EDFAs
In this study, the design and implementation of a fuzzy logic (FL) based automatic gain
controller card (AGC) is performed in order to control the pump laser current with respect to …
controller card (AGC) is performed in order to control the pump laser current with respect to …
[HTML][HTML] New neuro-fuzzy system-based holey polymer fibers drawing process
M Salim, O Nameer - AIP Advances, 2017 - pubs.aip.org
Furnace temperature (T), draw tension (TE), and draw ratio (D r) are the main parameters
that could directly affect holey polymer fiber (HPF) production during the drawing stage …
that could directly affect holey polymer fiber (HPF) production during the drawing stage …
Optimization with genetic algorithm of temperature-dependent fiber length of L-band EDFA gain
M YÜCEL, DAM MUSTAFA - Turkish Journal of Electrical …, 2016 - journals.tubitak.gov.tr
Erbium-doped fiber amplifiers (EDFAs) have great importance in long-distance
communication. It is required to have equal gain for all signals that are transferred and to …
communication. It is required to have equal gain for all signals that are transferred and to …