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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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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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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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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Anomaly detection for X-ray of PCB & IC images by Heng, Daryl Ew-Jynn

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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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Design and implementation on an anomaly detection scheme supported by neural networks by Chia, Maximillian Khim Heng

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Identifying malicious activities through anomaly detection in ethereum network by Neo, Remus Keng Long

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Anomaly detection of 3D printing process using machine learning by Nur Muizzu Hamzah

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Applying graph neural network to multivariate time series anomaly detection by Mao, Yiyun

“…Motivated by the need to explore advanced anomaly detection techniques, this study investigates the performance of graph neural network-based anomaly detection models on multivariate time series data. …”
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Anomaly detection through enhanced sentiment analysis on social media data by Zhao, Jingying

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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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Anomaly detection in aerosol jet printing via computer vision & machine learning by Ong, Alvin Wei Siang

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Deep learning techniques for anomaly detection in time series data using transformer by Chan, Rachel Si Min

“…With the proliferation of data modalities, the issue of anomaly detection in large-scale databases is getting harder. …”
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Anomaly detection of 3D bioprinting process & optimization using machine learning by Yuan, Jing

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Protecting cyber physical systems using neural networks by Koshy, Ajay Philip

“…After which, they were compared for their time series prediction accuracy, anomaly detection accuracy, and training time.…”
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Identifying behavioral anomalies in Twitter users by Teo, Yue Qi

“…Finally, Time Series Anomaly Detection algorithm was used to identify abnormal tweeting frequencies over a period of time and was implemented using Twitter’s AnomalyDetection R package in RStudio. …”
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