Immune Approach in Network Anomaly Detection Problem by M. R. Mukhtarov

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Anomaly Detection Dataset for Industrial Control Systems by Alireza Dehlaghi-Ghadim, Mahshid Helali Moghadam, Ali Balador, Hans Hansson

Subjects: “…Anomaly detection dataset…”
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Anomaly Detection in Solar Modules with Infrared Imagery by V Ganapathi Raju N., G Sai Narayana, A Raja Sai, G Vishnu Vardhan Rao, Ch Yashwanth Reddy

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Anomaly Detection for Agricultural Vehicles Using Autoencoders by Esma Mujkic, Mark P. Philipsen, Thomas B. Moeslund, Martin P. Christiansen, Ole Ravn

Subjects: “…anomaly detection…”
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Diffusion MRI anomaly detection in glioma patients by Leon Weninger, Jarek Ecke, Kerstin Jütten, Hans Clusmann, Martin Wiesmann, Dorit Merhof, Chuh-Hyoun Na

“…The first diffusion-anomaly detection architecture is a denoising autoencoder, the second consists of a reconstruction and a discrimination network. …”
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Review of Anomaly Detection Algorithms for Data Streams by Tianyuan Lu, Lei Wang, Xiaoyong Zhao

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Tailored Algorithms for Anomaly Detection in Photovoltaic Systems by Pedro Branco, Francisco Gonçalves, Ana Cristina Costa

Subjects: “…anomaly detection…”
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Anomaly Detection using LSTM AutoEncoder by Mahmoud Moallem, Ali Akbar Pouyan

Subjects: “…anomaly detection…”
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Taxonomy of Anomaly Detection Techniques in Crowd Scenes by Amnah Aldayri, Waleed Albattah

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RanBox: anomaly detection in the copula space by Tommaso Dorigo, Martina Fumanelli, Chiara Maccani, Marija Mojsovska, Giles C. Strong, Bruno Scarpa

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Anomaly Detection Methods in Autonomous Robotic Missions by Shivoh Chirayil Nandakumar, Daniel Mitchell, Mustafa Suphi Erden, David Flynn, Theodore Lim

“…Since 2015, there has been an increase in articles on anomaly detection in robotic systems, reflecting its growing importance in improving the robustness and reliability of the increasingly utilized autonomous robots. …”
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High-dimensional and permutation invariant anomaly detection by Vinicius Mikuni, Benjamin Nachman

“…Methods for anomaly detection of new physics processes are often limited to low-dimensional spaces due to the difficulty of learning high-dimensional probability densities. …”
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Anomaly detection for natural gas regulator stations by Chao, Adam Christopher

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Machine learning for time series anomaly detection by Tinawi, Ihssan.

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Graphical User Interface for Anomaly Detection in DBOS by Redmond, Robert

“…While command line interfaces and graphical user interfaces are both means to monitor incoming/potential threats, the latter confer stronger advantages within the context of anomaly detection in DBOS. User studies were used to evaluate the interface’s features throughout the development process.…”
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Sketch-Based Anomaly Detection in Streaming Graphs by Bhatia, Siddharth, Wadhwa, Mohit, Kawaguchi, Kenji, Shah, Neil, Yu, Philip, Hooi, Bryan

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Design of an anomaly detection scheme for power distribution by Weng, Xumin

“…Abstract During the daily power operation, anomaly detection of the faults within the substation is an important work. …”
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Deep learning for anomaly detection in computational imaging by Du, Xinglin

“…One of the applications of deep learning is anomaly detection. In this thesis, supervised and semi-supervised deep learning anomaly detection are compared. …”
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Thermal image analytics for industrial anomaly detection by Goyal, Shreyas

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Modeling of anomaly detection for cyber security of the substation by Lin, Dong.

“…According to functional requirements of firewall system, use CPN theoretical to model and build the demand model based on anomaly detection system.…”
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