[HTML][HTML] INSTANCE–the Italian seismic dataset for machine learning

A Michelini, S Cianetti, S Gaviano… - Earth System …, 2021 - essd.copernicus.org
… We observe that the 54 008 selected earthquakes composing the dataset can be … in Italy
and, for the larger events, also for those earthquakes occurring in the near vicinity of the Italian

Insights into microseism sources by array and machine learning techniques: Ionian and Tyrrhenian Sea case of study

S Moschella, A Cannata, F Cannavò… - Frontiers in Earth …, 2020 - frontiersin.org
seismic stations along the coastline of Eastern Sicily. Microseism is the most continuous and
ubiquitous seismic … selected among up-to-date machine learning techniques (MLTs), able to …

SEISMIC RISK ASSESSMENT AT A TERRITORIAL SCALE BASED ON MACHINE LEARNING

P Carpanese - 2023 - research.unipd.it
… Figure 2.10 - Example of Italian building typologies … between ISTAT 2011 and our dataset
considering the features height, … based seismic fragility model has been developed for Italian

Use of deep learning to improve seismic data quality analysis

P Casale, A Pignatelli - Annals of Geophysics, 2024 - annalsofgeophysics.eu
… sourced from data within the Italian Seismic Network (ISN, code … -class learning, we utilized
a significantly larger dataset than … signal within these bands, we will see that, for example, the …

Machinelearning‐based high‐resolution earthquake catalog reveals how complex fault structures were activated during the 2016–2017 central Italy sequence

YJ Tan, F Waldhauser, WL Ellsworth… - The Seismic …, 2021 - pubs.geoscienceworld.org
… The Norcia earthquake is the largest earthquake in Italy since the 1980 M w … M w > 5
earthquakes seem to be a characteristic of the central Apennines. For instance, the 1703 sequence …

Machine-learning-aided regional post-seismic usability prediction of buildings: 2016–2017 Central Italy earthquakes

A Aloisio, MM Rosso, L Di Battista… - Journal of Building …, 2024 - Elsevier
… Since the database turns out to be strongly imbalanced, the … the resulting predictive machine
learning models. Moreover, … of positive and negative class instances correctly classified, ie …

[HTML][HTML] Ground motion prediction maps using seismic-microzonation data and machine learning

F Mori, A Mendicelli, G Falcone… - … Hazards and Earth …, 2022 - nhess.copernicus.org
… For instance, focusing on Fig. 2 and the M distribution, the … 3 for the training dataset), the
central Italy earthquake that … In this section the map for the 24 August 2016 central Italy seismic

Comparing and integrating artificial intelligence and similarity search detection techniques: application to seismic sequences in Southern Italy

F Scotto di Uccio, A Scala, G Festa… - Geophysical Journal …, 2023 - academic.oup.com
… 2, we report, as an example, the results for the Laceno … Here, we re-analysed the same
waveform data set to test … sequences, we report that the combination of the machine learning

[HTML][HTML] A machine learning framework for seismic risk assessment of industrial equipment

G Quinci, F Paolacci, M Fragiadakis, OS Bursi - Reliability Engineering & …, 2025 - Elsevier
The paper aims to propose a novel machine learning framework for seismic risk assessment
of industrial facilities. In this respect, a compound artificial neural network model is …

[HTML][HTML] Machine learning predictions of code-based seismic vulnerability for reinforced concrete and masonry buildings: Insights from a 300-building database

A Aloisio, Y De Santis, F Irti, DP Pasca, L Scimia… - Engineering …, 2024 - Elsevier
… Numerous illustrative instances exist within this research field. After … a dataset comprising
nearly 300 buildings. The vulnerability index has been determined following the Italian Seismic