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- 1Anomaly Detection
- 1Anomaly detection
- 1Banking
- 1Black-box Function Optimisation
- 1Customer Segmentation
- 1Ardakanian, Omid (Computing Science)
- 1Cockburn, Bruce (Department of Electrical and Computer Engineering)
- 1Dick, Scott (Department of Electrical and Computer Engineering)
- 1Han, Jie (Department of Electrical and Computer Engineering)
- 1Khazaei, Hamzeh (Electrical and Computer Engineering)
- 1Mohamed, Yasser A.-R. I. (Electrical and Computer Engineering)
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Fall 2014
Anomaly detection in spatial time series is a challenging problem with numerous potential applications. A comprehensive anomaly detection approach not only should be able to detect and identify the emerging anomalies, but it also has to characterize the essence of these anomalies by visualizing...
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Fall 2021
Convolutional Neural Networks (CNNs) have been recently seeing great success in various image classification fields and applications. However, this success has been accompanied by a significant increase in memory and computational demands, limiting their use in resource-limited devices, e.g.,...
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Input Space Partitioning and Other Heuristics for Minimizing the Number of Corner Simulations During Design Verification
DownloadFall 2017
The continuing reduction in the feature sizes of the latest CMOS (Complementary Metal-Oxide-Semiconductor) technologies allow faster, more compact, and more energy-efficient integrated circuits (ICs). On the downside, the performance of each transistor becomes harder and harder to characterise...
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Spring 2015
Among renewable energy resources, solar energy is promising and has recently become an area of interest in research. Photovoltaic (PV) systems have the capability of converting solar energy into electrical power. The advances in PV technology, such as the reliability and the continuous reduction...
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Spring 2021
The financial landscape is in a state of major disruption through digitalization. The steady adoption of Artificial Intelligence (AI) has brought about a myriad of opportunities for banks and financial institutions to drive efficiency and innovation. These institutions are essentially...