Evidence map›Paper›PMID 42191814›Full record

ArticleScientific reports2026

Machine learning-assisted validation of a high-isolation THz MIMO antenna for 6G communication and IoT application.

Md Ashraful Haque, Nizamuddin Ahmed, Gazi Mohammad Saifullah, Mehidy Hasan, Jun-Jiat Tiang, Narinderjit Singh Sawaran Singh, Abeer D Algarni, Abdelhamied A Ateya

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In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Md Ashraful HaqueDepartment of Electrical and Electronic Engineering, University of Liberal Arts Bangladesh (ULAB), Dhaka, 1207, Bangladesh. limon.ashraf@gmail.com.
Nizamuddin AhmedDepartment of Electrical and Electronic Engineering, Daffodil International University, Dhaka, 1341, Bangladesh.
Gazi Mohammad SaifullahDepartment of Electrical and Electronic Engineering, Daffodil International University, Dhaka, 1341, Bangladesh.
Mehidy HasanDepartment of Engineering Management, Trine University, Angola, IN, USA.
Jun-Jiat TiangCentre for Wireless Technology, CoE for Intelligent Network, Faculty of Artificial Intelligence & Engineering, Multimedia University, Persiaran Multimedia, 63100, Cyberjaya, Selangor, Malaysia. jjtiang@mmu.edu.my.
Narinderjit Singh Sawaran SinghFaculty of Data Science and Information Technology, INTI International University, Nilai, Malaysia.
Abeer D AlgarniDepartment of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, 11671, Riyadh, Saudi Arabia.
Abdelhamied A AteyaEIAS Data Science Lab, College of Computer and Information Sciences, Prince Sultan University, 11586, Riyadh, Saudi Arabia.

Funding

Abeer D. Algarni and Abdelhamied A. Ateya (PNURSP2026R51)
6 · The paper itself

Abstract

The terahertz (THz) frequency spectrum, which enables ultra-high data rates, low-latency communication (URLLC), and vast connectivity, is poised to be a key component in advancing wireless technology for 6G and beyond. But creating THz antennas that can overcome obstacles such as high propagation loss and complex construction is still quite difficult. A compact 1 × 2 MIMO patch antenna with dimensions of 130.7 μm × 288 μm is shown in this study. It is optimized for dual-frequency bands at 8.20-9.63 THz and 9.95-10.86 THz, making it ideal for secure communication and high-resolution photography. The suggested antenna outperforms current designs, achieving an astounding 14.07 dB of gain, 87.7% efficiency. Moreover, the MIMO antenna's capability is confirmed by an isolation of - 44.64 dB, an ECC of 1.07 × 10

Indexed as

Industrial and innovationRegression machine learningRLCSixth generation (6G)THz MIMO antenna

Identifiers

PMID42191814
PMCPMC13434159

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Registered trials

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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.