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Skip to Search Results- 19Machine Learning
- 2Anomaly Detection
- 2Computer Vision
- 2Deep Learning
- 2Microservices
- 2Neural Networks
- 1Al Dallal, Ahmed
- 1Alateeq, Majed Mohammad
- 1Banerjee, Bitan
- 1Chalmers, David E.
- 1Dolatabadi, Amirhossein
- 1Goli, Alireza
- 3Dick, Scott (Electrical and Computer Engineering)
- 3Reformat, Marek (Electrical and Computer Engineering)
- 2Cheng, Li (Electrical and Computer Engineering)
- 2Khazaei, Hamzeh (Electrical and Computer Engineering)
- 1Ardakanian, Omid (Computing Science)
- 1Bezemer, Cor-Paul (Electrical & Computer Engineering)
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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 2021
As a key infrastructure of constructing the Internet of Things, wireless sensor networks (WSNs) have attracted plenty of research interest. It is expected to be widely applied in almost every aspect of future life. Nowadays, some preliminary applications and prototypes have emerged in various...
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Spring 2022
Nowadays, with the rapid development of science and technology, human healthcare has become a hot topic and attracts more and more attention. A lot of researchers work on different technologies to contribute to our healthcare no matter disease diagnosis and prognosis or disease treatment. In this...
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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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Deep Learning-based Forecasting and Energy Management Algorithms for Smart Grid Applications
DownloadFall 2023
With the increasing global problems concerning energy security and climate change, new challenges in social progress and human survival have come to the fore. Requiring no fuel, and being renewable and non-polluting, renewable energy (RE) resources, typically from photovoltaic and wind sources,...
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Fall 2011
The imbalanced learning problem occurs in a large number of economic and health domains of great importance; consequently, it has drawn a significant amount of interest from academia, industry, and government funding agencies. Several researchers have used stratification to alleviate this...
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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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Spring 2019
The extraction of knowledge from data is a relatively recent computational pursuit which has been the focus of significant research attention and has an extensive field of potential applications. With the advent of widespread data collection describing a variety of systems spanning many fields of...
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Fall 2021
With the advent of cloud computing, many organizations are moving their software systems to cloud environments. This migration from on-premises to cloud infrastructure has led to the emergence of cloud applications. One of the essential concepts around cloud applications and cloud services is...
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Spring 2022
Can AI-driven robots replace sports officials and rehabilitation physicians in assessing the quality of human activities? An AI judging panel can attend to every nuance of an athlete’s performance and bring more just and agility in scoring. The subjectivity of the judging will be removed and no...