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Multi-resolution time series discord discovery
(Springer, 2017)
Discord Discovery is a recent approach for anomaly detection in time series that has attracted much research because of the wide variety of real-world applications in monitoring systems. However, finding anomalies by ...
Atmospheric Circulation Anomalies during Episodes of Enhanced and Reduced Convective Cloudiness over Uruguay
(2003-10-01)
Regional and large-scale circulation anomalies associated with periods of enhanced and reduced convective
cloudiness over Uruguay are studied for austral spring and summer, when rainfall associated with deep convection
is ...
Transformation Based Deep Anomaly Detection in Astronomical Images
(Institute of Electrical and Electronics Engineers Inc., 2020)
Weather regimes linked to daily precipitation anomalies in northern Chile
(Elsevier, 2020)
Northern Chile is one of the most arid regions in the world, with precipitation mainly occurring during austral summer, between December and April. The aim of this study is to classify the main weather regimes derived from ...
Network Anomaly Detection with Bayesian Self-Organizing Maps
(Corporación Universidad de la Costa, 2020)
Ten-year helium anomaly prior to the 2014 Mt Ontake eruption
(Nature, 2015)
Mt Ontake in central Japan suddenly erupted on 27th September 2014, killing 57 people with 6 still missing. It was a hydro-volcanic eruption and new magmatic material was not detected. There were no precursor signals such ...
Multiple classification of the force and acceleration signals extracted during multiple machine processes: part 1 intelligent classification from an anomaly perspective
(Springer, 2017)
This paper is the first in a two-part work, where the investigation into the characteristics of multiple machine processes is made in order to accurately control them via the frequently used machine centre platform. The ...
Vibration-Based Damage Detection in Historical Adobe Structures: Laboratory and Field Applications
(Taylor and Francis Inc., 2019)
© 2019, © 2019 Taylor & Francis.Structural Health Monitoring (SHM) has demonstrated to be a fundamental tool for detecting damage in early stages in existent civil engineering structures. This paper explores the accuracy ...
Detection and isolation of dos and integrity cyber attacks in cyber-physical systems with a neural network-based architecture
(MDPI, 2021-09-12)
New applications of industrial automation request great flexibility in the systems, supported by the increase in the interconnection between its components, allowing access to all the
information of the system and its ...