Meta learner-based optimization for antenna efficiency prediction and high-performance THz MIMO antenna applications

Meta learner-based optimization for antenna efficiency prediction and high-performance THz MIMO antenna applications

A number of classical machine learning approaches have been used to predict antenna efficiency. However, machine learning needs to be enhanced to predict more accurately. The stacked generalization approach has been shown to be capable of learning from features and meta features. In this paper, we p...

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Bibliographic Details
Main Authors: Md. Ashraful Haque, Md. Kawsar Ahmed, Geamel Alyami, Kamal Hossain Nahin, Md Sharif Ahammed, Akil Ahmad Taki, Narinderjit Singh Sawaran Singh, Md Afzalur Rahman, Liton Chandra Paul, Hussein Shaman
Format: Article
Language:English
Published: Elsevier 2025-09-01
Series:Results in Engineering
Subjects:
THZ antenna
Mimo antenna
Machine learning
6G Communication
RLC
Online Access:http://www.sciencedirect.com/science/article/pii/S259012302501953X
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http://www.sciencedirect.com/science/article/pii/S259012302501953X

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