International Journal of Advances in Microwave Technology <p>The International Journal of Advances in Microwave Technology (IJAMT) is a double blind peer-review, open access journal that publishes original research articles as well as review articles in all areas of Microwaves including microwave passive and active devices, microwave solid state devices, metamaterials, microwave antennas, microwave tubes, high power microwave sources and systems, microwave communication, wave propagation, millimeter- and sub-millimeter-wave techniques, radar engineering, radio astronomy, remote sensing and imaging applications. Specifically, the journal focuses on analysis, design, development, measurement, and testing of microwave components and devices, high power microwave sources and system, the interaction of electromagnetic waves with discrete, continuous, and biological media.</p> Academic Society of Science Engineering and Technology en-US International Journal of Advances in Microwave Technology 2456-4346 Analysis of dual band-reject filter unit cell based on Miller loading effect using strongly coupled parallel lines <p>This paper presents the analysis of a novel unit cell of a dual-band reject filter. This unit cell is proposed by using the Miller loading effect on the band-pass filter. The bandpass filter used in this model is designed from parallel coupled lines. Miller loading effect is used in electronics to change the equivalent impedance at input and output ports by connecting an impedance between the input and output ports. This change in the equivalent impedance at input and output alters the resonant frequencies of the band-pass filter and makes it a dual band-reject filter depending on the nature of impedance that has been connected between the ports. Theoretical and numerical simulations is carried out on circuit models with normalized impedances and normalized resonant frequencies. To validate theoretical and numerical simulations, a microstrip bandpass filter based on parallel coupled lines has been converted into a dual band-reject filter. Full-wave electromagnetic simulations are performed and these simulation results are in good agreement with the theoretical and numerical simulations.</p> salman talluri Copyright (c) 2022 salman talluri 2022-06-03 2022-06-03 7 2 283 287 10.32452/IJAMT.2022.283287 A Review on Optimization Techniques of Antennas Using AI and ML / DL Algorithms <p>In recent years, artificial intelligence (AI) aided communications grabbed huge attention to providing solutions for mathematical problems in wireless communications, by using machine learning (ML) and deep learning (DL) algorithms. This paper initially presents a short background on AI, CEM, and the role of AI / ML / DL in antennas. A study on ML / DL algorithms and the optimization techniques of antenna parameters using various ML / DL algorithms are presented. Finally, the application areas of AI in antennas are illustrated.</p> T. Gayatri G. Srinivasu D.M.K. Chaitanya V.K. Sharma Copyright (c) 2022 T. Gayatri, G. Srinivasu, D.M.K. Chaitanya, V.K. Sharma 2022-06-06 2022-06-06 7 2 288 295 10.32452/IJAMT.2022.288295