ArticleScientific reports2024
Machine learning-based novel-shaped THz MIMO antenna with a slotted ground plane for future 6G applications.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 citing papers in PubMed.
- Circular MIMO antenna with ML-based bandwidth and isolation prediction for 6G communications.Scientific reports · 2026Article
- Predicting the performance of a graphene-based patch antenna using a machine learning model for terahertz applications.Scientific reports · 2026Article
- Graphene based terahertz MIMO antenna with machine learning regression for 6G communications.Scientific reports · 2026Article
- Machine learning-optimized compact wearable frequency reconfigurable antenna for sub-6 GHz/mm-wave 5G integration.Scientific reports · 2025Article
- High-performance quatrefoil-slotted THz MIMO antenna for 6G applications with regression-based machine learning validation.Scientific reports · 2025Article
- Predictive modelling and high-performance enhancement smart thz antennas for 6 g applications using regression machine learning approaches.Scientific reports · 2025Article
- High performance grid structured MIMO antenna with regression machine learning for high-speed sub THz and THz 6G IoT applications.Scientific reports · 2025Article
- Machine learning-optimized dual-band wearable antenna for real-time remote patient monitoring in biomedical IoT systems.Scientific reports · 2025Article
- Regression machine learning-based highly efficient dual band MIMO antenna design for mm-Wave 5G application and gain prediction.Scientific reports · 2025Article
- High-isolation dual-band MIMO antenna for next-generation 5G wireless networks at 28/38 GHz with machine learning-based gain prediction.Scientific reports · 2025Article
- Multiband THz MIMO antenna with regression machine learning techniques for isolation prediction in IoT applications.Scientific reports · 2025Article
- Performance prediction and optimization of a high-efficiency tessellated diamond fractal MIMO antenna for terahertz 6G communication using machine learning approaches.Scientific reports · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
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) antennas operating at the terahertz (THz) frequency band. This research evaluates an antenna's performance using various methodologies, such as simulation and RLC equivalent circuit models. The suggested design has a broad bandwidth of 2.5 THz and spans from 6.2 to 8.7 GHz, a maximum gain of 14.59 dB, and small dimensions (100 × 300) µm
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.