Deep learning for anomaly detection by Tan, Kenneth Jun Wei

“…Anomaly detection methods are devoted to target detection schemes in which no priori information about the spectra of the targets of interest is available. …”
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Anomaly detection in industrial settings by Yeo, Nathaniel Chong Ho

“…Anomaly detection (AD) and anomaly segmentation (AS) is a large part of various industrial setting such as the manufacturing industry. …”
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Deep anomaly detection for medical images by Li, Xintong

“…The main purpose of this Final Year Project is to investigate transfer learning-based anomaly detection methods that do not require or only require a small number of labeled data instances. …”
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Anomaly detection for autonomous driving vehicles by Chen, Kuilin

“…In this project, Carla was used to develop anomaly detection model and test working with ROS and Autoware. …”
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Graph neural network for anomaly detection by Yeo, Ming Hong

“…Graph Neural Networks (GNNs) have gained prominence in the realm of anomaly detection on graph-structured data, a critical task in various fields such as cybersecurity, fraud detection, and network monitoring. …”
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Anomaly detection using flow and pressure by Kachireddy Lakshmi Prasanna

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Positive and unlabeled learning for anomaly detection by Zhang, Jiaqi

“…Anomaly detection is of great interest to big data applications but still remains a challenging problem for machine learning-based methods. …”
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Anomaly detection using intelligent analytics by Chen, Zhaomin

“…Anomaly detection is an important issue which has been studied in diverse application domains. …”
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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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Time series clustering and anomaly detection in the financial markets by Lim, Wilbur Yong Wei

“…Time series clustering and anomaly detection provide researches with useful domain insights but are also two of the most challenging time series data mining issues. …”
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An incremental clustering method for anomaly detection in flight data by Zhao, Weizun, Li, Lishuai, Alam, Sameer, Wang, Yanjun

“…Safety is a top priority for civil aviation. New anomaly detection methods, primarily clustering methods, have been developed to monitor pilot operations and detect any risks from such flight data. …”
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Anomaly detection in smart grids using machine learning by Li, Xiang

“…In this dissertation, anomaly detection strategies based on reinforcement learning (RL) are proposed. …”
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Anomaly detection for industrial parts using PatchCore by Kuah, Zheng Xuan

“…The decision of an anomaly detection revolves around a binary problem. This paper will delve into a state-of-the-art method of anomaly detection known as PatchCore and its effectiveness on various datasets. …”
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Event recognition and anomaly detection using machine learning by Peng, Xinggan

“…Abnormal event recognition and anomaly detection aim to discover incidents, patterns or objects that do not conform to expected behaviour. …”
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Anomaly detection for X-ray of PCB & IC images by Heng, Daryl Ew-Jynn

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Anomaly detection in gas pipelines using flow and pressure by Kumar, Abhishek

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Deep learning based anomaly detection in time-series data by Zeng, Jinpo

“…Anomaly detection, also called outlier detection, on the multivariate time-series data is applicable to multiple domains. …”
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