Anomaly detection using spatial and temporal information in multivariate time series by Zhiwen Tian, Ming Zhuo, Leyuan Liu, Junyi Chen, Shijie Zhou

“…Hence, we propose STADN, a novel Anomaly Detection Network Using Spatial and Temporal Information. …”
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IoT Network Anomaly Detection in Smart Homes Using Machine Learning by Nadeem Sarwar, Imran Sarwar Bajwa, Muhammad Zunnurain Hussain, Muhammad Ibrahim, Khizra Saleem

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Unsupervised Video Anomaly Detection Based on Similarity with Predefined Text Descriptions by Jaehyun Kim, Seongwook Yoon, Taehyeon Choi, Sanghoon Sull

“…Research on video anomaly detection has mainly been based on video data. …”
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Anatomy-aware self-supervised learning for anomaly detection in chest radiographs by Junya Sato, Yuki Suzuki, Tomohiro Wataya, Daiki Nishigaki, Kosuke Kita, Kazuki Yamagata, Noriyuki Tomiyama, Shoji Kido

“…Summary: In this study, we present a self-supervised learning (SSL)-based model that enables anatomical structure-based unsupervised anomaly detection (UAD). The model employs an anatomy-aware pasting (AnatPaste) augmentation tool that uses a threshold-based lung segmentation pretext task to create anomalies in normal chest radiographs used for model pretraining. …”
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Convolutional autoencoder anomaly detection and classification based on distribution PMU measurements by Narges Ehsani, Farrokh Aminifar, Hamed Mohsenian‐Rad

“…This paper utilizes convolutional autoencoders (Conv‐AE) for the sake of anomaly detection based on the DPMU measurements in distribution systems. …”
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Network Anomaly Detection Through IP Traffic Analysis With Variable Granularity by Shohei Kamamura, Yuki Takei, Masato Nishiguchi, Yuhei Hayashi, Takayuki Fujiwara

Subjects: “…Anomaly detection…”
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Network Anomaly Detection inside Consumer Networks—A Hybrid Approach by Darsh Patel, Kathiravan Srinivasan, Chuan-Yu Chang, Takshi Gupta, Aman Kataria

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Expressway ETC Transaction Data Anomaly Detection Based on TL-XGBoost by Fumin Zou, Rouyue Shi, Yongyu Luo, Zerong Hu, Huan Zhong, Weihai Wang

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Risk Data Analysis Based Anomaly Detection of Ship Information System by Bowen Xing, Yafeng Jiang, Yuqing Liu, Shouqi Cao

“…Based on the collaborative control structure of SIS, this paper proposes an anomaly detection pattern based on risk data analysis. …”
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Anomaly Detection in Maritime AIS Tracks: A Review of Recent Approaches by Konrad Wolsing, Linus Roepert, Jan Bauer, Klaus Wehrle

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Anomaly Detection Trusted Hardware Sensors for Critical Infrastructure Legacy Devices by Apostolos P. Fournaris, Charis Dimopoulos, Konstantinos Lampropoulos, Odysseas Koufopavlou

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SCGAN: Extract Features From Normal Semantics for Unsupervised Anomaly Detection by Yang Dai, Lin Zhang, Fu-You Fan, Ya-Juan Wu, Ze-Kuan Zhao

Subjects: “…Anomaly detection…”
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Phase I Analysis of Nonlinear Profiles Using Anomaly Detection Techniques by Chuen-Sheng Cheng, Pei-Wen Chen, Yu-Tang Wu

“…In this study, we formulated profile monitoring as an anomaly-detection problem and proposed an outlier-detection procedure for phase I nonlinear profile analysis. …”
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A Deep Anomaly Detection System for IoT-Based Smart Buildings by Simona Cicero, Massimo Guarascio, Antonio Guerrieri, Simone Mungari

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Learning-Free Hyperspectral Anomaly Detection With Unpredictive Frequency Residual Priors by Shichao Zhou, Wenzheng Wang, Chentao Gao

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Web Based Anomaly Detection Using Zero-Shot Learning With CNN by Dilek Yilmazer Demirel, Mehmet Tahir Sandikkaya

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USING PROGRESSIVE CONTEXT ENCODERS FOR ANOMALY DETECTION IN DIGITAL PATHOLOGY IMAGES by Ryan Gillard, Chady Meroueh, Qiangqiang Gu, Naresh Prodduturi, Sandhya Patil, Thomas Flotte, Steven N. Hart

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An Anomaly Detection Model for Oil and Gas Pipelines Using Machine Learning by Sumayh S. Aljameel, Dorieh M. Alomari, Shatha Alismail, Fatimah Khawaher, Aljawharah A. Alkhudhair, Fatimah Aljubran, Razan M. Alzannan

“…Herein, machine learning-based anomaly detection models are proposed to solve the problem of oil and gas pipeline leakage. …”
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Dynamic Data Abstraction-Based Anomaly Detection for Industrial Control Systems by Jake Cho, Seonghyeon Gong

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Graph Attention Network and Informer for Multivariate Time Series Anomaly Detection by Mengmeng Zhao, Haipeng Peng, Lixiang Li, Yeqing Ren

Subjects: “…anomaly detection…”
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