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Advanced Search Results For "network anomaly"

1 - 10 of 2,195 results for
 "network anomaly"
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Effective and Efficient Discovery of Top-k Meta Paths in Heterogeneous Information Networks.

Publication Type: Academic Journal

Source(s): IEEE Transactions on Knowledge & Data Engineering. Sep2022, Vol. 34 Issue 9, p4172-4185. 14p.

Abstract: Heterogeneous information networks (HINs), which are typed graphs with labeled nodes and edges, have attracted tremendous interest from academia and industry. Given two HIN nodes $s$ s and $t$ t , and a natural number $k$ k , we study the discovery of ...

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Graph Regularized Autoencoder and its Application in Unsupervised Anomaly Detection.

Publication Type: Academic Journal

Source(s): IEEE Transactions on Pattern Analysis & Machine Intelligence. Aug2022, Vol. 44 Issue 8, p4110-4124. 15p.

Abstract: Dimensionality reduction is a crucial first step for many unsupervised learning tasks including anomaly detection and clustering. Autoencoder is a popular mechanism to accomplish dimensionality reduction. In order to make dimensionality reduction effec...

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Efficient anomaly detection through surrogate neural networks.

Publication Type: Academic Journal

Source(s): Neural Computing & Applications. Dec2022, Vol. 34 Issue 23, p20491-20505. 15p.

Abstract: Anomaly Detection can be viewed as an open problem despite the growing plethora of known anomaly detection techniques. The applicability of various anomaly detectors can vary depending on the application area and problem settings. Especially in the Big...

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One-Class Convolutional Neural Networks for Water-Level Anomaly Detection.

Publication Type: Academic Journal

Source(s): Sensors (14248220). Nov2022, Vol. 22 Issue 22, p8764. 13p.

Abstract: Companies that own water systems to provide water storage and distribution services always strive to enhance and efficiently distribute water to different places for various purposes. However, these water systems are likely to face problems ranging fro...

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Machine Learning Models Applied to a GNSS Sensor Network for Automated Bridge Anomaly Detection.

Publication Type: Academic Journal

Source(s): Journal of Structural Engineering. Nov2022, Vol. 148 Issue 11, p1-15. 15p.

Abstract: Structural health monitoring (SHM) based on global navigation satellite systems (GNSS) is an interesting solution to provide absolute positions at different locations of a structure in a global reference frame. In particular, low-cost GNSS stations for...

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Machine Learning Approach for Smart Distribution Transformers Load Monitoring and Management System.

Publication Type: Academic Journal

Source(s): Energies (19961073). Nov2022, Vol. 15 Issue 21, p7981. 19p.

Abstract: Distribution transformers are an integral part of the power distribution system network and emerging smart grids. With the increasing dynamic service requirements of consumers, there is a higher likelihood of transformer failures due to overloading, fe...

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Anomaly detection in multi-tiered cellular networks using LSTM and 1D CNN.

Publication Type: Academic Journal

Source(s): EURASIP Journal on Wireless Communications & Networking. 10/4/2022, Vol. 2022 Issue 1, p1-22. 22p.

Abstract: Self-organizing networks (SONs) are considered as one of the key features for automation of network management in new generation of mobile communications. The upcoming fifth-generation mobile networks and beyond are likely to offer new advancements for...

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Real-time detection of anomalies in large-scale transient surveys.

Publication Type: Academic Journal

Source(s): Monthly Notices of the Royal Astronomical Society. 11/30/2022, Vol. 517 Issue 1, p393-419. 27p.

Abstract: New time-domain surveys, such as the Vera C. Rubin Observatory Legacy Survey of Space and Time, will observe millions of transient alerts each night, making standard approaches of visually identifying new and interesting transients infeasible. We prese...

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SAOCNN: Self-Attention and One-Class Neural Networks for Hyperspectral Anomaly Detection.

Publication Type: Academic Journal

Source(s): Remote Sensing. Nov2022, Vol. 14 Issue 21, p5555. 29p.

Abstract: Hyperspectral anomaly detection is a popular research direction for hyperspectral images; however, it is problematic because it separates the background and anomaly without prior target information. Currently, deep neural networks are used as an extrac...

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Research on DUAL-ADGAN Model for Anomaly Detection Method in Time-Series Data.

Publication Type: Academic Journal

Source(s): Computational Intelligence & Neuroscience. 10/26/2022, Vol. 2022, p1-18. 18p.

Abstract: In recent years, anomaly detection techniques in time-series data have been widely used in manufacturing, cybersecurity, and other fields. Meanwhile, various anomaly detection models based on generative adversarial networks (GAN) are gradually used in ...

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