ANN-based predictive modelling of multiband absorption properties for eco-friendly microwave absorbers

Ahmad, Azizah (2026) ANN-based predictive modelling of multiband absorption properties for eco-friendly microwave absorbers. PhD thesis, Universiti Teknologi MARA (UiTM).

Abstract

The rapid advancement of Industry 4.0 technologies and widespread adoption of 5G communication systems have heightened public concerns about the potential health risks associated with electromagnetic radiation. To mitigate these risks, eco-friendly microwave absorbers have emerged as a promising solution, effectively reducing radiation exposure. However, predicting the absorption performance remains challenging due to their complex and nonlinear interaction with electromagnetic waves. This research proposes a two-stage modelling approach to classify the absorption performance of eco-friendly single-slot pyramidal microwave absorbers.

Metadata

Item Type:	Thesis (PhD)
Creators:	Creators Email / ID Num. Ahmad, Azizah 2023566333
Contributors:	Contribution Name Email / ID Num. Thesis advisor Taib, Mohd Nasir UNSPECIFIED
Subjects:	Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science > Neural networks (Computer science) T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Electronics > Apparatus and materials
Divisions:	Universiti Teknologi MARA, Shah Alam > Faculty of Electrical Engineering
Programme:	Doctor of Philosophy (Electrical Engineering)
Keywords:	Microwave absorbers, Artificial neural network, Regression analysis
Date:	2026
URI:	https://ir.uitm.edu.my/id/eprint/134328