We introduce a nondiagonal seismic denoising method based on the continuous wavelet
transform with hybrid block thresholding (BT). Parameters for the BT step are adaptively …

Recorded seismic signals are often corrupted by noise. We have developed an automatic
noise-attenuation method for single-channel seismic data, based upon high-resolution time …

In the aftermath of a seismic event, decision-makers have to decide quickly among
alternative management actions with limited knowledge on the actual health condition of …

Structural health monitoring (SHM) ensures the safety and reliability of civil infrastructure.
Autoencoders, as unsupervised learning models, offer promise for SHM by learning data …

Background and objective Prior studies have shown higher green cover levels are
associated with beneficial health outcomes. We sought to determine if residential green …

Most time–frequency representations (TFRs) and signal analysis methods used for the
identification of dynamic systems through non-parametric techniques are based on …

Continuous monitoring of the structural health of strategic structures and transport
infrastructures plays a crucial role in providing an effective assessment of the safety …

Vibration‐based methodologies are nowadays gaining increasing application for the
structural health monitoring and damage detection on buildings, especially damage due to …

Thanks to emerging techniques in the field of signal processing and due to improvements in
smart sensing systems which enable the event‐triggered acquisition of high‐fidelity data at …

One of the latest trends in structural health monitoring involves the use of wireless
decentralized sensing systems, developed to reduce costs and speed up the whole …