Applications of Machine Learning and Deep Learning in Antenna Design, Optimization and Selection: A Review
This review paper provides an overview of the latest developments in artificial intelligence
(AI)-based antenna design and optimization for wireless communications. Machine learning …
(AI)-based antenna design and optimization for wireless communications. Machine learning …
Improved dipper-throated optimization for forecasting metamaterial design bandwidth for engineering applications
Metamaterials have unique physical properties. They are made of several elements and are
structured in repeating patterns at a smaller wavelength than the phenomena they affect …
structured in repeating patterns at a smaller wavelength than the phenomena they affect …
[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 …
Machine learning-based technique for gain and resonance prediction of mid band 5G Yagi antenna
In this study, we present our findings from investigating the use of a machine learning (ML)
technique to improve the performance of Quasi-Yagi–Uda antennas operating in the n78 …
technique to improve the performance of Quasi-Yagi–Uda antennas operating in the n78 …
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) …
A comparative analysis of machine learning approach for optimizing antenna design
With the increasing demand for smarter antenna design in advanced technology
applications, well-designed antennas have been an important factor in enhancing system …
applications, well-designed antennas have been an important factor in enhancing system …
[HTML][HTML] Data-driven surrogate modeling for global sensitivity analysis and the design optimization of medical waste shredding systems
Excessive medical waste is generated in various medical facilities, especially post-Covid.
Recently, sterilization-based shredding systems are being widely used to treat medical …
Recently, sterilization-based shredding systems are being widely used to treat medical …
An optimized surrogate model and algorithm with rapid multi-parameter processing capability for antenna design
W Yang, S Liu, J Yang - Measurement, 2025 - Elsevier
A methodology based on an optimized surrogate model and Non-dominated Sorting Genetic
Algorithm III (NSGA-III) algorithm is proposed to address the long design cycle issues that …
Algorithm III (NSGA-III) algorithm is proposed to address the long design cycle issues that …
Inverse design of reflective metasurface antennas using deep learning from small‐scale statistically random pico‐cells
XC You, FH Lin - Microwave and Optical Technology Letters, 2024 - Wiley Online Library
A small‐scale data‐selection method is proposed for deep‐learning‐based inverse design
of reflective metasurface antennas (MAs). The overall design process involves discretization …
of reflective metasurface antennas (MAs). The overall design process involves discretization …
Design optimization of 3D printed concrete elements considering life cycle assessment and life cycle costing
In answer to the increasing demand for sustainable construction, sustainable construction is
gaining momentum. However, the optimization methods cannot work effectively for dealing …
gaining momentum. However, the optimization methods cannot work effectively for dealing …