[HTML][HTML] Leveraging internet of things and emerging technologies for earthquake disaster management: Challenges and future directions

MS Abdalzaher, M Krichen, F Falcone - Progress in Disaster Science, 2024 - Elsevier
Seismology is among the ancient sciences that concentrate on earthquake disaster
management (EQDM), which directly impact human life and infrastructure resilience. Such a …

A quantitative site-specific classification approach based on affinity propagation clustering

SSR Moustafa, MS Abdalzaher, F Khan… - IEEE …, 2021 - ieeexplore.ieee.org
Investigations made to evaluate the site-effect characteristics and to develop a reliable site
classification scheme have received paramount importance for the urban areas planning …

A fast partitioning algorithm and its application to earthquake investigation

R Scitovski, S Scitovski - Computers & Geosciences, 2013 - Elsevier
In this paper a new fast partitioning algorithm able to find either a globally optimal partition or
a locally optimal partition of the set A⊂ R n close to the global one is proposed. The …

[HTML][HTML] Analysis of HVSR data using a modified centroid-based algorithm for near-surface geological reconstruction

P Capizzi, R Martorana - Geosciences, 2022 - mdpi.com
Recently, the use of microtremor techniques for subsoil investigation has increased
significantly. The HVSR (Horizontal to Vertical Spectral Ratio) technique allows, in many …

Local inhomogeneous weighted summary statistics for marked point processes

N D'Angelo, G Adelfio, J Mateu… - Journal of Computational …, 2024 - Taylor & Francis
We introduce a family of local inhomogeneous mark-weighted summary statistics, of order
two and higher, for general marked point processes. Depending on how the involved weight …

Geophysical Subsoil Characterization and Modeling Using Cluster Analysis for Seismic Microzonation Purposes

P Capizzi, R Martorana - Geosciences, 2023 - mdpi.com
In the municipality of Enna, 80 HVSR measurements were performed, and some of these
were combined with MASW seismic measurements, which made it possible to constrain the …

Automatic and fast recognition of on-road high-emitting vehicles using an optical remote sensing system

H Xie, Y Zhang, Y He, K You, B Fan, D Yu, M Li - Sensors, 2019 - mdpi.com
Optical remote sensing systems (RSSs) for monitoring vehicle emissions can be installed on
any road and provide non-contact on-road measurements, that allow law enforcement …

Selection of time windows in the horizontal‐to‐vertical noise spectral ratio by means of cluster analysis

A D'Alessandro, D Luzio… - Bulletin of the …, 2016 - pubs.geoscienceworld.org
The selection of the elementary analysis windows in continuous noise recordings for optimal
estimation of the mean horizontal‐to‐vertical spectral ratio (HVSR) curve is generally …

Unsupervised clustering of ambient seismic noise in an urban environment

B Saadia, G Fotopoulos - Computers & Geosciences, 2023 - Elsevier
In this study, a semi-automated unsupervised clustering workflow is developed to classify
ambient seismic noise from datasets acquired in an urban region, specifically using a pair of …

Waveforms clustering and single-station location of microearthquake multiplets recorded in the northern Sicilian offshore region

A D'Alessandro, G Mangano, G D'Anna… - Geophysical Journal …, 2013 - academic.oup.com
Abstract In 2009 December, the OBSLab-INGV (Istituto Nazionale di Geofisica e
Vulcanologia) deployed an Ocean Bottom Seismometer with Hydrophone (OBS/H) near the …