首页|Investigators from Indian Institute for Technology Report New Data on Machine Learning (Efficient Modeling of Graphene-dielectric Resonator Based Hybrid Mimo Antenna for Thz Application Using Machine Learning Algorithms)
Investigators from Indian Institute for Technology Report New Data on Machine Learning (Efficient Modeling of Graphene-dielectric Resonator Based Hybrid Mimo Antenna for Thz Application Using Machine Learning Algorithms)
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NETL
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Springer Nature
2024 FEB 02 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Data detailed on Machine Learning have been presented. According to news reporting originating in Jharkhand, India, by NewsRx journalists, research stated, “In this communication, a hybrid MIMO antenna (combination of graphene and ceramic) is designed and investigated in THz frequency range. Circular Polarization is achieved by feeding the cylindrical ceramic using moon shaped aperture with L-shaped Microstrip line.” The news reporters obtained a quote from the research from Indian Institute for Technology, “Mutual coupling between the antenna ports has been reduced to - 25 dB by using the concept of polarization diversity. Graphene material is used to introduce the re-configurability in the proposed radiator. For avoiding the difficulty of simulation of radiator at THz regime (very high simulation time), machine learning algorithms i.e. Artificial Neural Network (ANN), Random Forest and XGBoost are utilized to predict the reflection coefficient and axial ratio of designed antenna. The designed radiator works from 2.4 to 3.1 THz with 3-dB axial ratio from 2.6 to 3.0 THz.”
JharkhandIndiaAsiaAlgorithmsCyborgsEmerging Tech- nologiesMachine LearningIndian Institute for Technology
NETL
NSTL
Springer Nature
