Application of artificial intelligence in predicting earthquakes: state-of-the-art and future challenges
Predicting the time, location and magnitude of an earthquake is a challenging job as an
earthquake does not show specific patterns resulting in inaccurate predictions. Techniques …
earthquake does not show specific patterns resulting in inaccurate predictions. Techniques …
Application of neural network and ANFIS model for earthquake occurrence in Iran
This study examined the spatial-temporal variations in seismicity parameters for the
September 10 th, 2008 Qeshm earthquake in south Iran. To this aim, artificial neural …
September 10 th, 2008 Qeshm earthquake in south Iran. To this aim, artificial neural …
“Seismic-mass” density-based algorithm for spatio-temporal clustering
In this research work a new hybrid approach to spatio-temporal seismic clustering is
proposed. The method builds upon a novel density based clustering scheme that explicitly …
proposed. The method builds upon a novel density based clustering scheme that explicitly …
Deep learning and parallel processing spatio-temporal clustering unveil new Ionian distinct seismic zone
A Konstantaras - Informatics, 2020 - mdpi.com
This research work employs theoretical and empirical expert knowledge in constructing an
agglomerative parallel processing algorithm that performs spatio-temporal clustering upon …
agglomerative parallel processing algorithm that performs spatio-temporal clustering upon …
Data Management and Processing in Seismology: An Application of Big Data Analysis for the Doublet Earthquake of 2021, 03 March, Elassona, Central Greece
On 3 March 2021 (10: 16, UTC), a strong earthquake, Mw 6.3, occurred in Elassona, Central
Greece. The epicenter was reported 10 km west of Tyrnavos. Another major earthquake …
Greece. The epicenter was reported 10 km west of Tyrnavos. Another major earthquake …
Seismically informed reference models enhance AI‐based earthquake prediction systems
Y Zhang, C Zhan, Q Huang… - Journal of Geophysical …, 2024 - Wiley Online Library
Given the robust nonlinear regression capabilities of Artificial Intelligence (AI) technology, its
commendable performance in numerous geophysical tasks is expected. Yet, AI technology …
commendable performance in numerous geophysical tasks is expected. Yet, AI technology …
[PDF][PDF] Intelligent spatial-clustering of seismicity in the vicinity of the Hellenic seismic arc
AJ Konstantaras, E Katsifarakis… - Earth Science …, 2012 - researchgate.net
This research paper discusses possible seismic cluster formation and evolution in the
vicinity of the Hellenic seismic arc and proposes a graphical user-interface monitoring and …
vicinity of the Hellenic seismic arc and proposes a graphical user-interface monitoring and …
Neural network modeling of seismic behaviour of the hellenic Arc: strengths and limitations
D Voloshchuk, AJ Konstantaras… - International …, 2022 - search.proquest.com
The strategy of earthquake-proof construction and seismic risk reduction requires constant
improvement of methods of calculation and compilation of increasingly informative …
improvement of methods of calculation and compilation of increasingly informative …
Heuristics and fuzzy multi-criteria decision making for evaluating museum virtual tours
Virtual reality attributes to software system characteristics such as intuitiveness, easiness of
use, interactivity, and immediacy. Implementing a virtual environment is a complex process …
use, interactivity, and immediacy. Implementing a virtual environment is a complex process …
Classification of distinct seismic regions and regional temporal modelling of seismicity in the vicinity of the Hellenic seismic arc
AJ Konstantaras - IEEE Journal of Selected Topics in Applied …, 2012 - ieeexplore.ieee.org
This paper investigates the presence and potential discrimination of distinct seismic regions
in the vicinity of the Hellenic seismic arc focusing on its southern front. Seismological maps …
in the vicinity of the Hellenic seismic arc focusing on its southern front. Seismological maps …