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Published in 2019 at "Artificial Intelligence Review"
DOI: 10.1007/s10462-019-09760-1
Abstract: The development of an intelligent artificial satellite health monitoring system is a key issue in aerospace engineering that determines satellite health status and failure using telemetry data. The modern design of data mining and machine…
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Keywords:
health;
data mining;
machine learning;
telemetry data ... See more keywords
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Published in 2020 at "Ecological Modelling"
DOI: 10.1016/j.ecolmodel.2020.109340
Abstract: Abstract Migratory species do not necessarily behave migratory continuously. An important aspect of studying migratory species is therefore to distinguish between movement and resident behavior. Telemetry is a rapidly evolving technique to study animal movement,…
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Keywords:
decision;
part models;
part;
movement ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2019.2962235
Abstract: Since great redundancy of telemetry data of spacecraft, telemetry data compression is a good solution for the limited bandwidth and contact wireless links. It is important to obtain accurate data characteristic firstly. State-of-the-art machine learning…
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Keywords:
telemetry data;
study satellite;
self learning;
classification ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3000859
Abstract: To ensure the safety and stability of spacecrafts of which thousands of telemetry parameters are monitored, fast and accurate response to anomalies or potential hazards is very important and challenging. This task becomes more difficult…
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Keywords:
telemetry data;
irregular intervals;
anomaly detection;
lstm ... See more keywords
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Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3151930
Abstract: Most of the data-driven satellite telemetry data anomaly detection methods suffer from high false positive rate (FPR) and poor interpretability. To solve the above problems, we propose an anomaly detection framework using causal network and…
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Keywords:
telemetry data;
telemetry;
anomaly detection;
causal network ... See more keywords
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Published in 2023 at "IEEE Transactions on Software Engineering"
DOI: 10.1109/tse.2023.3241299
Abstract: The microservice architecture has been commonly adopted by large scale software systems exemplified by a wide range of online services. Service monitoring through anomaly detection and root cause analysis (RCA) is crucial for these microservice…
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Keywords:
microservice systems;
telemetry data;
rca;
level ... See more keywords
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Published in 2019 at "Methods in Ecology and Evolution"
DOI: 10.1111/2041-210x.13215
Abstract: We present spatsoc, an r package for conducting social network analysis with animal telemetry data. Animal social network analysis is a method for measuring relationships between individuals to describe social structure. Proximity‐based social networks are…
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Keywords:
network analysis;
telemetry data;
social network;
animal telemetry ... See more keywords
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Published in 2019 at "Methods in Ecology and Evolution"
DOI: 10.1111/2041-210x.13232
Abstract: Passive acoustic telemetry provides the opportunity to monitor and contextualize the movements of diverse aquatic animals. Despite depth being an essential dimension along which many processes are organized, the Eulerian structure of the acoustic telemetry…
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Keywords:
space use;
topography;
telemetry data;
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Published in 2019 at "Stroke"
DOI: 10.1161/strokeaha.119.025361
Abstract: Background and Purpose- Cardiac telemetry is a routine part of inpatient ischemic stroke/transient ischemic attack evaluation to assess for atrial fibrillation (AF). Yet, tools to assist stroke clinicians in the evaluation of the large quantities…
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Keywords:
ischemic stroke;
telemetry data;
electrocardiomatrix;
atrial fibrillation ... See more keywords