With this self-contained, introductory text, readers will easily understand the fundamentals of microwave and radar image generation. Written with the complete novice in mind, and …
This work presents a comprehensive review of the developments in using Machine Learning (ML)-based algorithms for the modeling and design optimization of switched reluctance …
D Xiao, G Fang, S Liu, S Yuan, R Ahmed… - … on Power Electronics, 2020 - ieeexplore.ieee.org
Model-based state-of-charge (SOC) and state-of-health (SOH) estimation for lithium-ion batteries has been widely applied in electrified vehicles, while the SOC and SOH estimators …
Mobile edge computing (MEC) in cognitive radio networks is an optimistic technique for improving the computational capability and spectrum utilization efficiency. In this study, we …
We propose a wide-band metamaterial perfect absorber (MPA), using the coupling in the near-field of a quadruple split-ring resonator concentric with crossed ellipses. We designed …
R Babu, B Bhattacharyya - International Journal of Electrical Power & …, 2016 - Elsevier
This paper presents binary particle swarm optimization (BPSO) technique for the optimal allocation of phasor measurement units (PMUs) for the entire observability of connected …
Abstract This paper proposes Interior-Point (IP) methods for the solution of the optimal placement of phasor measurement units (PMUs) ensuring complete observability. The …
We present the application of adjoint analysis to 3-D finite-element method scattering problems for a posteriori error estimation and adaptive refinement. Adjoint-based …
JJ Harmon, BM Notaroš - IEEE Transactions on Antennas and …, 2022 - ieeexplore.ieee.org
We present an application of adjoint-based adaptive error control and refinement for scattering problems solved using the method of moments (MoM) in the electric field integral …