Improved autoencoder for unsupervised anomaly detection
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22582
Abstract: Deep autoencoder‐based methods are the majority of deep anomaly detection. An autoencoder learning on training data is assumed to produce higher reconstruction error for the anomalous samples than the normal samples and thus can distinguish… read more here.
Keywords: detection; anomaly detection; improved autoencoder; unsupervised anomaly ... See more keywords
Graph‐based Bayesian network conditional normalizing flows for multiple time series anomaly detection
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.23027
Abstract: Various devices and sensors of cyber‐physical systems interact with each other in time and space, and the generated multiple time series have implicit correlations and highly nonlinear relationships. Determining how to model the multiple time… read more here.
Keywords: time; time series; anomaly detection; multiple time ... See more keywords
Anomaly detection by robust statistics
Sign Up to like & getrecommendations! Published in 2018 at "Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery"
DOI: 10.1002/widm.1236
Abstract: Real data often contain anomalous cases, also known as outliers. These may spoil the resulting analysis but they may also contain valuable information. In either case, the ability to detect such anomalies is essential. A… read more here.
Keywords: detection; robust statistics; anomaly detection; analysis ... See more keywords
Gryphon: a semi-supervised anomaly detection system based on one-class evolving spiking neural network
Sign Up to like & getrecommendations! Published in 2019 at "Neural Computing and Applications"
DOI: 10.1007/s00521-019-04363-x
Abstract: The backbone of the economy, security and sustainability of a state is inseparably linked to the security of its critical infrastructure. Critical infrastructures define goods, systems or subsystems that are essential to maintain the vital… read more here.
Keywords: detection system; system; semi supervised; anomaly detection ... See more keywords
Contextual anomaly detection on time series: a case study of metro ridership analysis
Sign Up to like & getrecommendations! Published in 2021 at "Neural Computing and Applications"
DOI: 10.1007/s00521-021-06455-z
Abstract: The increase in the amount of data collected in the transport domain can greatly benefit mobility studies and create high value-added mobility information for passengers, data analysts, and transport operators. This work concerns the detection… read more here.
Keywords: network; time series; anomaly detection; transport ... See more keywords
Anomaly detection in facial skin temperature using variational autoencoder
Sign Up to like & getrecommendations! Published in 2021 at "Artificial Life and Robotics"
DOI: 10.1007/s10015-020-00634-2
Abstract: Facial skin temperature is a physiological index that varies with skin blood flow controlled by autonomic nervous system activity. The facial skin temperature can be remotely measured using infrared thermography, and it has recently attracted… read more here.
Keywords: anomaly detection; skin temperature; temperature; facial skin ... See more keywords
Unsupervised Deep Anomaly Detection for Medical Images Using an Improved Adversarial Autoencoder
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Digital Imaging"
DOI: 10.1007/s10278-021-00558-8
Abstract: Anomaly detection has been applied in the various disease of medical practice, such as breast cancer, retinal, lung lesion, and skin disease. However, in real-world anomaly detection, there exist a large number of healthy samples,… read more here.
Keywords: deep anomaly; anomaly detection; detection; adversarial autoencoder ... See more keywords
Multimodal anomaly detection for assistive robots
Sign Up to like & getrecommendations! Published in 2019 at "Autonomous Robots"
DOI: 10.1007/s10514-018-9733-6
Abstract: Detecting when something unusual has happened could help assistive robots operate more safely and effectively around people. However, the variability associated with people and objects in human environments can make anomaly detection difficult. We previously… read more here.
Keywords: detection assistive; anomaly detection; robots multimodal; assistive robots ... See more keywords
Anomaly detection in watershed hydrological behavior due to land use changes in Eskandari Watershed, Iran
Sign Up to like & getrecommendations! Published in 2021 at "Environmental Monitoring and Assessment"
DOI: 10.1007/s10661-021-09221-9
Abstract: In this study, SWAT hydrological model was used to differentiate the effects of drought and changes in land use on hydrological balance of the system in Eskandari Watershed area. To this end, The SWAT model… read more here.
Keywords: anomaly detection; use changes; land; eskandari watershed ... See more keywords
Efficient anomaly detection from medical signals and images
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Speech Technology"
DOI: 10.1007/s10772-019-09610-z
Abstract: Anomaly detection is a very vital area in medical signal and image processing due to its importance in automatic diagnosis. This paper presents three efficient anomaly detection approaches for applications related to Electroencephalogram (EEG) signal… read more here.
Keywords: signals images; medical signals; anomaly detection; detection medical ... See more keywords
A Spatial Correlation-Based Anomaly Detection Method for Subsurface Modeling
Sign Up to like & getrecommendations! Published in 2020 at "Mathematical Geosciences"
DOI: 10.1007/s11004-020-09892-z
Abstract: Spatial data analytics provides new opportunities for automated detection of anomalous data for data quality control and subsurface segmentation to reduce uncertainty in spatial models. Solely data-driven anomaly detection methods do not fully integrate spatial… read more here.
Keywords: detection; detection method; anomaly detection; spatial correlation ... See more keywords