A large-scale measurement, analysis and modelling of electromagnetic radiation levels in the vicinity of GSM/UMTS base stations in an urban area
The present study analyses the electric field radiating from the GSM/UMTS base stations
located in central Malatya, a densely populated urban area in Turkey. The authors have …
located in central Malatya, a densely populated urban area in Turkey. The authors have …
Artificial neural network based design of RF MEMS capacitive shunt switches
Artificial neural networks (ANNs) have appeared as a very efficient alternative to time
consuming full-wave simulations of electrical characteristics of RF MEMS. In this paper, a …
consuming full-wave simulations of electrical characteristics of RF MEMS. In this paper, a …
Neural based lumped element model of capacitive RF MEMS switches
T Ćirić, R Dhuri, Z Marinković, O Pronić-Rančić… - Frequenz, 2018 - degruyter.com
In this paper a lumped element model of RF MEMS capacitive switches which is scalable
with the lateral dimensions of the bridge is proposed. The dependence of the elements of …
with the lateral dimensions of the bridge is proposed. The dependence of the elements of …
Artifical neural networks in RF MEMS switch modelling
Z Marinković, V Marković, T Ćirić… - Facta universitatis …, 2016 - doiserbia.nb.rs
The increased growth of the applications of RF MEMS switches in modern communication
systems has created an increased need for their accurate and efficient models. Artificial …
systems has created an increased need for their accurate and efficient models. Artificial …
Mathematical modelling on the effects of conductive material and substrate thickness for air substrate microstrip patch antenna
ASB Mohammed, S Kamal… - The Applied …, 2020 - journals.riverpublishers.com
The use of microstrip patch configuration in the 5th generation (5G) wireless network is
expected to fulfill the demands of smartphone users by significantly increasing the capacity …
expected to fulfill the demands of smartphone users by significantly increasing the capacity …
Application of ANNs in evaluation of microwave pyramidal absorber performance
M Agatonović, Z Marinković… - The Applied …, 2012 - journals.riverpublishers.com
To evaluate the overall anechoic chamber performance it is necessary to determine
reflectivity of the absorbers. As manufacturer specifications usually give only information …
reflectivity of the absorbers. As manufacturer specifications usually give only information …
Comparative analysis of parameter extraction techniques for AlGaN/GaN HEMT on silicon/sapphire substrate
We report a comparative study of artificial neural network (ANN) model and small signal
model (SSM) based on extracted parameters. ANN model training is done using Levenberg …
model (SSM) based on extracted parameters. ANN model training is done using Levenberg …
Hybrid intelligent control scheme of a polymerization kettle for ACR production
Polymerization kettle is the key controlled plant in ACR (Acrylate Copolymer Resin)
production, which is a nonlinear time-delay system with parametric variance. However …
production, which is a nonlinear time-delay system with parametric variance. However …
Artificial Neural Network for RF MEMS Circuits
S Kanthamani, JJ Percy… - … Intelligent Circuits and …, 2024 - World Scientific
The evolution of communication technologies with high-frequency radio-frequency (RF)
devices increased the demand for compact and efficient designs. Micro-electromechanical …
devices increased the demand for compact and efficient designs. Micro-electromechanical …
Outlier Detection-aided Supervised Learning for Modeling of Thinned Cylindrical Conformal Array
Y Hong, W Shao, YH Lv… - The Applied …, 2023 - journals.riverpublishers.com
In this paper, a scheme of outlier detection-aided supervised learning (ODASL) is proposed
for analyzing the radiation pattern of a thinned cylindrical conformal array (TCCA) …
for analyzing the radiation pattern of a thinned cylindrical conformal array (TCCA) …