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Beginning Anomaly Detection Using Python-Based Deep Learning Implement Anomaly Detection Applications with Keras and PyTorch
This beginner-oriented book will help you understand and perform anomaly detection by learning cutting-edge machine learning and deep learning...
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Introduction to Anomaly Detection
In this chapter, you will learn about anomalies in general, the categories of anomalies, and anomaly detection. You will also learn why anomaly...
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Anomaly detection in WSN IoT (Internet of Things) environment through a consensus-based anomaly detection approach
The most essential part of any IoT (Internet of Things) model is the wireless network sensors (WSN). The application of these networks combined with...
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Decoupling Anomaly Discrimination and Representation Learning: Self-supervised Learning for Anomaly Detection on Attributed Graph
Anomaly detection on attributed graphs is a crucial topic for practical applications. Existing methods suffer from semantic mixture and imbalance...
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Domain generalization for video anomaly detection considering diverse anomaly types
In intelligent video surveillance, anomaly detection is conducted to identify the occurrence of abnormal events by monitoring the video captured by...
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Deep Industrial Image Anomaly Detection: A Survey
The recent rapid development of deep learning has laid a milestone in industrial image anomaly detection (IAD). In this paper, we provide a...
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Anomaly Detection
In this fourth chapter, we are going to see the foundations of the identification of anomalous data, outliers, and the main techniques used to carry...
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Anomaly graph: leveraging dynamic graph convolutional networks for enhanced video anomaly detection in surveillance and security applications
Video abnormality behavior identification plays a pivotal role in improving the safety and security of surveillance systems by identifying unusual...
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A weakly supervised anomaly detection method based on deep anomaly scoring network
Recently most anomaly detection methods mainly use normal samples or unlabeled data for training. Due to the lack of prior anomaly knowledge, normal...
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PA2Dnet based ensemble classifier for the detection of crowd anomaly detection
In surveillance video, crowd anomaly detection uses humans' position and orientation deviation. Encoding these positions is complicated and uses...
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MÆIDM: multi-scale anomaly embedding inpainting and discrimination for surface anomaly detection
The detection of anomalous structures in natural image data plays a crucial role in numerous tasks in the field of computer vision. Methods based on...
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Protocol Anomaly Detection in IIoT
Industrial IoT (IIoT) belongs to the category of Operational Technology (OT) network, which is different from Information Technology (IT) network....
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Multimedia datasets for anomaly detection: a review
Multimedia anomaly datasets play a crucial role in automated surveillance. They have a wide range of applications expanding from outlier objects/...
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Log anomaly detection based on BERT
With the increasing complexity of computing clusters and large-scale network systems, anomaly detection based on logs has gained significant...
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Dual model knowledge distillation for industrial anomaly detection
Unsupervised anomaly detection holds significant importance in large-scale industrial manufacturing. Recent methods have capitalized on the benefits...
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Context discovery for anomaly detection
Contextual anomaly detection aims to identify objects that are anomalous only within specific contexts, while appearing normal otherwise. However,...
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Toward Unsupervised Energy Consumption Anomaly Detection
Existing high-performance Machine Learning models typically rely on large training datasets with high-quality manual annotations, which are difficult...
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Multiresolution feature guidance based transformer for anomaly detection
Anomaly detection is represented as an unsupervised learning to identify deviated images from normal images. In general, there are two main...
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Anomaly detection in surveillance videos using deep autoencoder
Video anomaly detection algorithms are yet to advance at the pace CCTV footage data of public places is being recorded and made publicly available....
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Toward Anomaly Detection Using Explainable AI
Anomaly detection in networks is an important aspect of network security, enabling organizations to identify and respond to unusual patterns of...