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Skip to Search Results- 8Anomaly Detection
- 3Machine Learning
- 2Deep Learning
- 2Time Series
- 2Unsupervised Learning
- 1Anomalous Network Traffic
- 1Li, Jinbo
- 1Li, Yuxuan
- 1Md Monir Hossain
- 1Mostafa, Ahmed M
- 1Mueller, David A.
- 1Reshadi, Mohammadhossein
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Fall 2022
With the rapid development of smart grids, the detection of anomalies is essential to improve the quality and security protection of the grid. The identification of anomalies not only saves valuable time but also reduces maintenance costs. Due to the increasing deployment of distributed energy...
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Spring 2021
Deep learning has revolutionized many fields that process large amounts of data such as images, video, audio, speech, and text. Anomaly detection, however, is among the areas that still require major advancements. Based on the key traits of deep learning, which are the need for very little hand...
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Fall 2024
Reinforcement learning has been widely applied in different control tasks. However, its performance often faces the challenge of low sample efficiency. Introducing human prior knowledge is often seen as a possible solution, such as behaviour cloning, learning from advice, and inverse...
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Fall 2017
Network connectivity is an indispensable component of any computer related activities. Any computer-like machine is connected to some kind of a network, which is further connected to another computer network. Technological advances allow users to connect any devices and use multiple applications....
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Fall 2024
This thesis delves into the advancements in visual anomaly detection (AD), a challenging task in identifying outliers in images such as defects and lesions, which is crucial in many applications including medical diagnosis and industrial manufacturing. This thesis addresses two main challenges:...
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Fall 2013
Time series discords, as introduced in by Keogh et al. [5] is described as the subsequence in the time series which is maximally different from the rest of the subsequences. Discovery of time series discords has been applied to several diverse domains including space shuttle telemetry, industry,...
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Fall 2018
Time series has become prevalent in a broad range of real-world applications such as weather, health care, agricultural production, satellite image analysis, speech recognition, industrial process control, and others. This type of data comes as a collection of observations obtained...
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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...