Machine learning in telemetry data mining of space mission: basics, challenging and future directions
Sign Up to like & getrecommendations! 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… read more here.
Keywords: health; data mining; machine learning; telemetry data ... See more keywords
Combining disciplines: Dealing with observed and cryptic animal residencies in passive telemetry data by applying econometric decision-making models
Sign Up to like & getrecommendations! 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,… read more here.
Keywords: decision; part models; part; movement ... See more keywords
Harnessing AI forward and backward chaining with telemetry data for enhanced diagnostics and prognostics of smart devices
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-89266-9
Abstract: In the rapidly evolving landscape of artificial intelligence (AI) and the Internet of Things (IoT), the significance of device diagnostics and prognostics is paramount for guaranteeing the dependable operation and upkeep of intricate systems. The… read more here.
Keywords: harnessing forward; telemetry data; diagnostics prognostics; backward chaining ... See more keywords
Study on the Satellite Telemetry Data Classification Based on Self-Learning
Sign Up to like & getrecommendations! 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… read more here.
Keywords: telemetry data; study satellite; self learning; classification ... See more keywords
Combining OC-SVMs With LSTM for Detecting Anomalies in Telemetry Data With Irregular Intervals
Sign Up to like & getrecommendations! 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… read more here.
Keywords: telemetry data; irregular intervals; anomaly detection; lstm ... See more keywords
Satellite Unsupervised Anomaly Detection Based on Deconvolution-Reconstructed Temporal Convolutional Autoencoder
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Consumer Electronics"
DOI: 10.1109/tce.2023.3306428
Abstract: Anomaly detection for orbiting satellites has become a paramount research focus in the aerospace domain. Data-driven methodologies, employing high-dimensional telemetry data, have exhibited significant potential for timely anomaly detection without the need for pre-existing models… read more here.
Keywords: detection; satellite; telemetry data; anomaly detection ... See more keywords
Satellite Telemetry Data Anomaly Detection Using Causal Network and Feature-Attention-Based LSTM
Sign Up to like & getrecommendations! 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… read more here.
Keywords: telemetry data; telemetry; anomaly detection; causal network ... See more keywords
TrinityRCL: Multi-Granular and Code-Level Root Cause Localization Using Multiple Types of Telemetry Data in Microservice Systems
Sign Up to like & getrecommendations! 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… read more here.
Keywords: microservice systems; telemetry data; rca; level ... See more keywords
Conducting social network analysis with animal telemetry data: Applications and methods using spatsoc
Sign Up to like & getrecommendations! 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… read more here.
Keywords: network analysis; telemetry data; social network; animal telemetry ... See more keywords
Modelling the three‐dimensional space use of aquatic animals combining topography and Eulerian telemetry data
Sign Up to like & getrecommendations! 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… read more here.
Keywords: space use; topography; telemetry data;
Estimating Spatially Explicit Survival and Mortality Risk From Telemetry Data With Thinned Point Process Models.
Sign Up to like & getrecommendations! Published in 2025 at "Ecology letters"
DOI: 10.1111/ele.70092
Abstract: Mortality risk for animals often varies spatially and can be linked to how animals use landscapes. While numerous studies collect telemetry data on animals, the focus is typically on the period when animals are alive,… read more here.
Keywords: telemetry data; mortality risk; process; mortality ... See more keywords