[HTML][HTML] Machine learning-based technique for directivity prediction of a compact and highly efficient 4-port MIMO antenna for 5G millimeter wave applications
Abstract Miniaturized Millimeter Wave (mm-wave) MIMO antenna arrays with an observed
10-dB impedance broad bandwidth of 3.7 GHz (25.785–29.485) are the focus of this study's …
10-dB impedance broad bandwidth of 3.7 GHz (25.785–29.485) are the focus of this study's …
[HTML][HTML] Broadband high gain performance MIMO antenna array for 5 G mm-wave applications-based gain prediction using machine learning approach
This paper presents the findings about implementing a machine learning (ML) technique to
optimize the performance of 5 G mm wave applications utilizing multiple-input multiple …
optimize the performance of 5 G mm wave applications utilizing multiple-input multiple …
[HTML][HTML] Performance improvement of THz MIMO antenna with graphene and prediction bandwidth through machine learning analysis for 6G application
This article provides the findings of a study that integrated simulation, an RLC equivalent
circuit, and machine learning (ML) techniques to improve wireless indoor communications …
circuit, and machine learning (ML) techniques to improve wireless indoor communications …
Machine learning technique based highly efficient slotted 4-port MIMO antenna using decoupling structure for sub-THz and THz 6G band applications
This article presents the results of our investigation into a machine learning (ML) method for
6G MIMO antenna performance improvement in the THz band. Regarding the lowest …
6G MIMO antenna performance improvement in the THz band. Regarding the lowest …
[HTML][HTML] Regression supervised model techniques THz MIMO antenna for 6G wireless communication and IoT application with isolation prediction
This article presents unique research on the application of machine learning techniques to
enhance the efficiency of antennas for wireless communication and Internet of Things (IoT) …
enhance the efficiency of antennas for wireless communication and Internet of Things (IoT) …
Machine learning-based technique for resonance and directivity prediction of UMTS LTE band quasi Yagi antenna
In this study, we have presented our findings on the deployment of a machine learning (ML)
technique to enhance the performance of LTE applications employing quasi-Yagi-Uda …
technique to enhance the performance of LTE applications employing quasi-Yagi-Uda …
Machine learning-based novel-shaped THz MIMO antenna with a slotted ground plane for future 6G applications
This study discusses the results of using a regression machine learning technique to
improve the performance of 6G applications that use multiple-input multiple-output (MIMO) …
improve the performance of 6G applications that use multiple-input multiple-output (MIMO) …
Machine learning-based technique for gain prediction of mm-wave miniaturized 5G MIMO slotted antenna array with high isolation characteristics
This study presents the design and analysis of a compact 28 GHz MIMO antenna for 5G
wireless networks, incorporating simulations, measurements, and machine learning (ML) …
wireless networks, incorporating simulations, measurements, and machine learning (ML) …
Novel nanocomposite based microstrip patch antenna for C and X band applications
PAM Mercy - Materials Chemistry and Physics, 2024 - Elsevier
Microstrip patch antennas (MPAs) are essential components in modern wireless
communication systems, and their design is significantly influenced by the properties of the …
communication systems, and their design is significantly influenced by the properties of the …
Analysis of slotted e-shaped microstrip patch antenna for ku band applications
In this article, a slotted E-shaped microstrip patch antenna (MPA) is analyzed and proposed
that spans the almost whole Ku band frequency range,(13.9 to 18.8) GHz in HFSS and …
that spans the almost whole Ku band frequency range,(13.9 to 18.8) GHz in HFSS and …