A Comparison of Deep Learning Algorithms for Anomaly Detection in Discrete Mechanical Systems by Francesco Morgan Bono, Luca Radicioni, Simone Cinquemani, Gianluca Bombaci

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Anomaly Detection Using Electric Impedance Tomography Based on Real and Imaginary Images by Imam Sapuan, Moh Yasin, Khusnul Ain, Retna Apsari

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Comparing autoencoder-based approaches for anomaly detection in highway driving scenario images by Vasilii Mosin, Miroslaw Staron, Yury Tarakanov, Darko Durisic

Subjects: “…Anomaly detection…”
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A Causality-Inspired Approach for Anomaly Detection in a Water Treatment Testbed by Georgios Koutroulis, Belgin Mutlu, Roman Kern

Subjects: “…anomaly detection…”
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UGRansome1819: A Novel Dataset for Anomaly Detection and Zero-Day Threats by Mike Nkongolo, Jacobus Philippus van Deventer, Sydney Mambwe Kasongo

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Automatic Anomaly Detection on In-Production Manufacturing Machines Using Statistical Learning Methods by Federico Pittino, Michael Puggl, Thomas Moldaschl, Christina Hirschl

Subjects: “…anomaly detection…”
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Smart network anomaly detection software architecture for network-enabled ubiquitous devices by Mariusz Pelc, Dawid Galus, Mariusz Gola, Aleksandra Kawala-Sterniuk

“…The whole idea is based on a policy-based system where the whole decision-making (e.g. anomaly detection-related) logic is provided in a form of an externally loaded policy file. …”
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Anomaly Detection in Endemic Disease Surveillance Data Using Machine Learning Techniques by Peter U. Eze, Nicholas Geard, Ivo Mueller, Iadine Chades

Subjects: “…anomaly detection…”
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A Qualitative Strategy for Fusion of Physics into Empirical Models for Process Anomaly Detection by Ahmad Y. Al Rashdan, Hany S. Abdel-Khalik, Kellen M. Giraud, Daniel G. Cole, Jacob A. Farber, William W. Clark, Abenezer Alemu, Marcus C. Allen, Ryan M. Spangler, Athi Varuttamaseni

Subjects: “…anomaly detection…”
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Dual Auto-Encoder GAN-Based Anomaly Detection for Industrial Control System by Lei Chen, Yuan Li, Xingye Deng, Zhaohua Liu, Mingyang Lv, Hongqiang Zhang

Subjects: “…anomaly detection…”
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Contribution of Singular Spectral Analysis to Forecasting and Anomalies Detection of Indoors Air Quality by Felipe Espinosa, Ana B. Bartolomé, Pablo Villoria Hernández, M. C. Rodriguez-Sanchez

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An adaptive transformer model for anomaly detection in wireless sensor networks in real-time by A. Siva Kumar, S. Raja, N. Pritha, Havaldar Raviraj, R. Babitha Lincy, J. Jency Rubia

Subjects: “…Anomaly detection…”
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Anomaly detection of power load data based on Transformer and generative adversarial networks by LU Danhong, FAN Wenyao, YANG Ting, NI Minjue, LI Siqi, ZHU Xiao

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Anomaly Detection for Human Home Activities Using Pattern Based Sequence Classification by Rawan Mohammed Elhadad, Yi-Fei Tan

Subjects: “…anomaly detection…”
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Efficient NP Tests for Anomaly Detection Over Birth-Death Type DTMCs by Ozkan, Huseyin, Ozkan, Fatih, Delibalta, Ibrahim, Kozat, Suleyman S.

“…We propose computationally highly efficient Neyman-Pearson (NP) tests for anomaly detection over birth-death type discrete time Markov chains. …”
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Orion – A Machine Learning Framework for Unsupervised Time Series Anomaly Detection by Alnegheimish, Sarah

“…In this thesis, we introduce Orion, a machine learning framework for unsupervised time series anomaly detection. The framework supports all the steps of the anomaly detection process. …”
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Anomaly Detection in the Molecular Structure of Gallium Arsenide Using Convolutional Neural Networks by Roche, Timothy, Wood, Aihua, Cho, Philip, Johnstone, Chancellor

“…The model performed well on all tests under the established assumptions, allowing for reliable anomaly detection. To the best of our knowledge, such methods are not currently available in the open literature; thus, this work fills a gap in current capabilities.…”
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Anomaly Detection in Airline Routine Operations Using Flight Data Recorder Data by Li, Lishuai, Hansman, R. John

“…This thesis develops a new anomaly detection approach using routine operational data to support proactive safety management. …”
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Anomaly detection in airline routine operations using flight data recorder data by Li, Lishuai

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Time series clustering and anomaly detection of COVID-19 global cases and deaths by Liew, Zhi Li

“…The performance and results from the three algorithms were analysed and the common point anomalies detected by all three algorithms are extracted for a more holistic evaluation.…”
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