Enhancing anomaly detection in electrical consumption profiles through computational intelligence by Santiago Felipe Luna-Romero, Xavier Serrano-Guerrero, Mauren Abreu de Souza, Guillermo Escrivá-Escrivà

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Trajectory Shape Analysis and Anomaly Detection Utilizing Information Theory Tools by Yuejun Guo, Qing Xu, Peng Li, Mateu Sbert, Yu Yang

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GAMFlow: Global Attention-Based Flow Model for Anomaly Detection and Localization by Fan Zhang, Ruiqing Yan, Jinfeng Li, Jiasheng He, Chun Fang

Subjects: “…Anomaly detection…”
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A Hybrid Model of Heart Anomalies Detection by Processing Heart Sounds by Ehsan Aghaenjad, Ramazan Taimourei-Yansary, Ali Riahi

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Traffic anomaly detection method in networks based on improved clustering algorithm by Hong-cheng LI,Xiao-ping WU, Hong-hai JIANG

“…To solve the problem that traditional traffic abnormal detection methods were not accurate enough,a traf-fic anomaly detection method based on improved k-means was proposed.All kinds of network traffic data were pre-processed to make k-means algorithm can apply to enumeration data detection.Then a features selection method was pro-posed with the analysis of the distribution of network traffic data to avoid the distance useless caused by too much fea-tures.Furthermore,the clustering process of K clusters was optimized based on dichotomy,aiming to reduce the effects of initial clusters centers selection.Simulation results demonstrate the effectiveness of the algorithm.…”
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GraphTS: Graph-represented time series for subsequence anomaly detection by Roozbeh Zarei, Guangyan Huang, Junfeng Wu

“…However, most existing methods for subsequence anomaly detection often require knowing the length and the total number of anomalies in time series. …”
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Anomaly Detection in Multi-Host Environment Based on Federated Hypersphere Classifier by Junhyung Kwon, Byeonggil Jung, Hyungil Lee, Sangkyun Lee

Subjects: “…anomaly detection…”
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Literature review: Anomaly detection approaches on digital business financial systems by Sarah Oliveira Pinto, Vinicius Amorim Sobreiro

Subjects: “…Anomaly detection…”
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Anomaly Detection for Cyber Internet of Things Attacks: A Systematic Review by Laraib Sana, Muhammad Mohsin Nazir, Muddesar Iqbal, Lal Hussain, Amjad Ali

“…The research intends to improve security mechanisms based on intrusion and anomaly detection for IoT using deep learning. In this context, a systematic literature review (SLR) is conducted to identify ‘How to perform data transformation analysis of IoT dataset to detect anomaly detection for cyber IoT attacks? …”
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Recursive RX with Extended Multi-Attribute Profiles for Hyperspectral Anomaly Detection by Fang He, Shuai Yan, Yao Ding, Zhensheng Sun, Jianwei Zhao, Haojie Hu, Yujie Zhu

Subjects: “…hyperspectral anomaly detection (HAD)…”
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Data-Driven Anomaly Detection Approach for Time-Series Streaming Data by Minghu Zhang, Jianwen Guo, Xin Li, Rui Jin

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Hyperspectral Anomaly Detection Based on Regularized Background Abundance Tensor Decomposition by Wenting Shang, Mohamad Jouni, Zebin Wu, Yang Xu, Mauro Dalla Mura, Zhihui Wei

Subjects: “…anomaly detection…”
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Anomaly Detection for Service-Oriented Business Processes Using Conformance Analysis by Zeeshan Tariq, Darryl Charles, Sally McClean, Ian McChesney, Paul Taylor

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Anomaly Detection in Asset Degradation Process Using Variational Autoencoder and Explanations by Jakub Jakubowski, Przemysław Stanisz, Szymon Bobek, Grzegorz J. Nalepa

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Sensor Virtualization for Anomaly Detection of Turbo-Machinery Sensors—An Industrial Application by Sachin Shetty, Valentina Gori, Gianni Bagni, Giacomo Veneri

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Deep Generative Models-Based Anomaly Detection for Spacecraft Control Systems by Hyojung Ahn, Dawoon Jung, Han-Lim Choi

Subjects: “…anomaly detection…”
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A mapping method for anomaly detection in a localized population of structures by Weijiang Lin, Keith Worden, Andrew E. Maguire, Elizabeth J. Cross

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Active Magnetic Anomaly Detection Using Multiple Micro Aerial Vehicles by Dames, Philip M., Schwager, Mac, Kumar, Vijay, Rus, Daniela L

“…Magnetic anomaly detection (MAD) is an important problem in applications ranging from geological surveillance to military reconnaissance. …”
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Cyber security risk analysis framework : network traffic anomaly detection by Moe, Lwin P

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Anomaly detection methods for detecting cyber attacks in industrial control systems by Liu, Jessamyn.

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