ArticleScientific reports2025
Machine learning driven design and optimization of a compact dual Port CPW fed UWB MIMO antenna for wireless communication.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
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Who cites it
5 citing papers in PubMed.
- Inverse design of an ultra-wideband endfire grooved half-mode waveguide (G-HMWG) antenna based on the CNN approach.Scientific reports · 2026Article
- Predicting the performance of a graphene-based patch antenna using a machine learning model for terahertz applications.Scientific reports · 2026Article
- Ninja optimization algorithm based ultra wideband antenna electromagnetic band gap modeling via a generative adversarial network.Scientific reports · 2026Article
- Machine learning-inspired design of a modified spider-shaped MIMO antenna for 5G-advanced wireless communications.PloS one · 2026Article
- Optimization for next generation laptops enhancing performance and compactness.Scientific reports · 2025Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this article, a compact dual port Multiple Input Multiple Output (MIMO) Coplanar Waveguide (CPW) fed Ultra-Wideband (UWB) antenna for the next generation wireless communication using Machine Learning (ML) optimization is presented. It is designed on an FR4 epoxy substrate of 16 × 30 mm
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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.