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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TCF-Trans: temporal context fusion transformer for anomaly detection in time series by Peng, Xinggan, Li, Hanhui, Lin, Yuxuan, Chen, Yongming, Fan, Peng, Lin, Zhiping

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Behaviour based anomaly detection system for smartphones using machine learning algorithm by Majeed, Khurram

“…In this research, we propose a novel, platform independent behaviour-based anomaly detection system for smartphones. The fundamental premise of this system is that every smartphone user has unique usage patterns. …”
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An anomaly detection framework for identifying energy theft and defective meters in smart grids by Yip, Sook Chin, Tan, Wooi Nee, Tan, Chia Kwang, Gan, Ming Tao, Wong, Kok Sheik

“…In this paper, we put forward a new anomaly detection framework to evaluate consumers’ energy utilization behavior for identifying the localities of potential energy frauds and faulty meters. …”

A Systematic Review of Anomaly Detection within High Dimensional and Multivariate Data by Suboh, Syahirah, Abdul Aziz, Izzatdin, Shaharudin, Shazlyn Milleana, Ismail, Saidatul Akmar, Mahdin, Hairulnizam

“…In data analysis, recognizing unusual patterns (outliers’ analysis or anomaly detection) plays a crucial role in identifying critical events. …”
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A Systematic Review of Anomaly Detection within High Dimensional and Multivariate Data by Suboh, Syahirah, Abdul Aziz, Izzatdin, Shaharudin, Shazlyn Milleana, Ismail, Saidatul Akmar, Mahdin, Hairulnizam

“…—In data analysis, recognizing unusual patterns (outliers’ analysis or anomaly detection) plays a crucial role in identifying critical events. …”
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A Systematic Review of Anomaly Detection within High Dimensional and Multivariate Data by Suboh, Syahirah, Abdul Aziz, Izzatdin, Shaharudin, Shazlyn Milleana, Ismail, Saidatul Akmar, Mahdin, Hairulnizam

“…In data analysis, recognizing unusual patterns (outliers’ analysis or anomaly detection) plays a crucial role in identifying critical events. …”
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A Systematic Review of Anomaly Detection within High Dimensional and Multivariate Data by Suboh, Syahirah, Abdul Aziz, Izzatdin, Shaharudin, Shazlyn Milleana, Ismail, Saidatul Akmar, Mahdin, Hairulnizam

“…In data analysis, recognizing unusual patterns (outliers’ analysis or anomaly detection) plays a crucial role in identifying critical events. …”
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A Systematic Review of Anomaly Detection within High Dimensional and Multivariate Data by Suboh, Syahirah, Abdul Aziz, Izzatdin, Shaharudin, Shazlyn Milleana, Ismail, Saidatul Akmar, Mahdin, Hairulnizam

“…In data analysis, recognizing unusual patterns (outliers’ analysis or anomaly detection) plays a crucial role in identifying critical events. …”
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A Systematic Review of Anomaly Detection within High Dimensional and Multivariate Data by Suboh, Syahirah, Abdul Aziz, Izzatdin, Shaharudin, Shazlyn Milleana, Akmar Ismail, Saidatul, Mahdin, Hairulnizam

“…In data analysis, recognizing unusual patterns (outliers’ analysis or anomaly detection) plays a crucial role in identifying critical events. …”
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A Systematic Review of Anomaly Detection within High Dimensional and Multivariate Data by Suboh, Syahirah, Abdul Aziz, Izzatdin, Shaharudin, Shazlyn Milleana, Akmar Ismail, Saidatul, Mahdin, Hairulnizam

“…In data analysis, recognizing unusual patterns (outliers’ analysis or anomaly detection) plays a crucial role in identifying critical events. …”
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Real valued negative selection for anomaly detection in wireless ad hoc networks by Abdul Majid, Azri, Maarof, Mohd. Aizaini

“…To achieve our goal, we studied how the real-valued negative selection algorithm can be applied in wireless ad hoc network network and finally we proposed the enhancements to real-valued negative selection algorithm for anomaly detection in wireless ad hoc network.…”
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Anomaly detection of intrusion based on integration of rough sets and fuzzy c-means by Chimphlee, Witcha, Md. Sap, Mohd. Noor, Abdullah, Abdul Hanan, Chimphlee, Siriporn

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Improving the anomaly detection by combining PSO search methods and J48 algorithm by Kurniabudi, Kurniabudi, Abdul Harris, Abdul Harris, Mintaria, Albertus Edward, Darmawijoyo, Darmawijoyo, Stiawan, Deris, Idris, Mohd. Yazid, Budiarto, Rahmat

“…Compared with the previous study the proposed technique has better accuracy, TPR, and FPR.Anomaly Detection, CICIDS2017…”

A Trajectory Scoring Tool for Local Anomaly Detection in Maritime Traffic Using Visual Analytics by Fernando H. O. Abreu, Amilcar Soares, Fernando V. Paulovich, Stan Matwin

Subjects: “…local anomaly detection…”
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<i>ASAD</i>: Adaptive Seasonality Anomaly Detection Algorithm under Intricate KPI Profiles by Hao Wang, Yuanyuan Zhang, Yijia Liu, Fenglin Liu, Hanyang Zhang, Bin Xing, Minghai Xing, Qiong Wu, Liangyin Chen

Subjects: “…KPI anomaly detection…”
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Anomaly detection using real valued nagative selection in wireless ad hoc networks / by Azri Abdul Majid, author, Mohd. Yazid Idris, 1973-, author, Mohd.Aizaini Maarof, author, International Conference on IT and Multimedia (2005 : Selangor)

Long short-term memory autoencoder-based anomaly detection system for electric motors / by Labib Sharrar, 1995-, author 622404, Kumeresan A. Danapalasingam, supervisor 350330, Fakulti Kejuruteraan. Sekolah Kejuruteraan Elektrik 619066

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