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Efficient textile anomaly detection via memory guided distillation network
Textile anomaly detection with high accuracy and fast frame rates are desired in real industrial scenarios. To this end, we propose an efficient...
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Anomaly Detection in Multi-robot Systems Exploiting Self-Awareness
Self-awareness is intelligent agents’ capability to become aware of new experiences using their sensory data. This paper focuses on anomaly detection...
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Convex and nonconvex nonparametric frontier-based classification methods for anomaly detection
Effective methods for determining the boundary of the normal class are very useful for detecting anomalies in commercial or security applications—a...
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Multi-channel anomaly detection using graphical models
Anomaly detection in multivariate time-series data is critical for monitoring asset conditions, enabling prompt fault detection and diagnosis to...
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LADDERS: Log Based Anomaly Detection and Diagnosis for Enterprise Systems
Enterprise software can fail due to not only malfunction of application servers, but also due to performance degradation or non-availability of other...
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What we know about the low-risk anomaly: a literature review
It is well documented that less risky assets tend to outperform their riskier counterparts across asset classes. This paper provides a structured...
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A Systematic Review of Anomaly Detection for Business Process Event Logs
While a business process is most often executed following a normal path, anomalies may sometimes arise and can be captured in event logs. Event log...
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Dynamic Circular Network-Based Federated Dual-View Learning for Multivariate Time Series Anomaly Detection
Multivariate time-series data exhibit intricate correlations in both temporal and spatial dimensions. However, existing network architectures often...
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Spatial randomness-based anomaly detection approach for monitoring local variations in multimode surface topography
Anomaly detection of three-dimensional (3D) topographic data is a challenging problem in spatial data analysis. In this paper, we investigate spatial...
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Machine learning-enabled real-time anomaly detection for electron beam powder bed fusion additive manufacturing
Despite the many advantages and increasing adoption of Electron Beam Powder Bed Fusion (PBF-EB) additive manufacturing by industry, current PBF-EB...
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Wind Turbine Anomaly Detection Based on SCADA Data
Wind turbine condition monitoring based on supervisory control and data acquisition (SCADA) has attracted considerable research interest in recent...
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Smart junction: advanced zone-based traffic control system with integrated anomaly detector
Traffic control through video/image processing is a trending research topic within Intelligent Transportation Systems. The number of moving vehicles,...
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Anomaly Detection Method of Healthcare Internet of Things Gateway Supporting Edge Computing
As the link between the perception layer and the network layer, the Internet of Things gateway is of great significance to the safe and stable...
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A Comprehensive Survey of Anomaly Detection Algorithms
Anomaly or outlier detection is consider as one of the vital application of data mining, which deals with anomalies or outliers. Anomalies are...
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Geomagnetic Signal Processing System for Pre-earthquake Anomaly Detection
The conventional method of predicting earthquakes is based on historical seismic records of earthquake-prone areas that can only provide...
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Geomagnetic Signal Processing System for Pre-earthquake Anomaly Detection
The conventional method of predicting earthquakes is based on historical seismic records of earthquake-prone areas that can only provide...
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A Fully Privacy-Preserving Solution for Anomaly Detection in IoT using Federated Learning and Homomorphic Encryption
Anomaly detection for the Internet of Things (IoT) is a very important topic in the context of cyber-security. Indeed, as the pervasiveness of this...
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Anomaly detection in additive manufacturing processes using supervised classification with imbalanced sensor data based on generative adversarial network
Supervised classification methods have been widely utilized for the quality assurance of the advanced manufacturing process, such as additive...
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Anomaly Detection and Categorization for a Data Quality Management Framework in Financial Regulatory Reporting
Financial institutions are subject to stringent regulatory reporting requirements to manage operational risk in international financial markets....