The current power systems are undergoing a rapid transition towards their more active,
flexible, and intelligent counterpart smart grid, which brings about tremendous challenges in …

The non-destructive testing and diagnosis of transport infrastructures is essential because of
the need to protect these facilities for mobility, and for economic and social development …

A review of the most recent advances in deep learning (DL) as applied to electromagnetics
(EM), antennas, and propagation is provided. It is aimed at giving the interested readers and …

In recent years, artificial intelligence (AI) techniques have been developed rapidly. With the
help of big data, massive parallel computing, and optimization algorithms, machine learning …

Deep learning has achieved state-of-the-art performance on signal and image processing.
Due to the remarkable success, it has been applied in more challenging tasks, such as …

Wavefield reconstruction inversion (WRI) formulates a PDE-constrained optimization
problem to reduce cycle skipping in full-waveform inversion (FWI). WRI is often implemented …

This article proposes a learning-based noniterative method to solve electromagnetic (EM)
scattering problems utilizing pix2pix, a popular generative adversarial network (GAN) …

This paper provides an overview of the existing literature on the subject of ground
penetrating radar (GPR) methods for the investigation of reinforced concrete structures. An …

Ground penetrating radar (GPR) is a well-established tool for detecting and locating
reinforcing bars (rebars) in concrete structures. However, using GPR to quantify the diameter …

The overall assessment of tunnel lining, including shapes, categories, and depths of tunnel
internal defects as well as the thickness of tunnel linings is vital to the safe operation of …