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Skip to Search Results- 1Akbari, Mojtaba
- 1Amini, Iman
- 1Dolatabadi, Amirhossein
- 1Han, Xuefei
- 1Ji, Wei
- 1Kabir, Mohammad Humayun
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Fall 2024
Nowadays systems logs are crucial for ensuring the reliability and security of modern computer systems. Effective log anomaly detection is essential for identifying potential threats and maintaining system integrity. Many existing unsupervised methods depend on additional abnormal data for...
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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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Automated Rod Length Measurements on Radiographs and Sonograms in Children with Early Onset Scoliosis
DownloadFall 2024
Early Onset Scoliosis (EOS) is a medical condition that is defined as a lateral curvature of the spine with vertebral rotation in children under age 10. Approximately 2-3% of children worldwide have scoliosis. Surgical intervention is the most effective management to treat these children who have...
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Fall 2024
The success of deep learning is partly due to the sheer size of modern models. However, such large models strain the capabilities of mobile or resourceconstrained devices. Ergo, reducing the resource demands of AI models is essential before AI can be deployed on such devices. One promising...
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Spring 2023
There has been a renewed interest in commonsense as a stepping stone toward achieving human-level intelligence. By digesting enormous amounts of data in different forms, such as visual, lingual, and sensory, humans are able to create a world model for themselves. It is hypothesized that this...
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Data-Driven Based Methods for Physical Layer Detection and Estimation in 5G and Beyond Wireless Communication Systems
DownloadFall 2023
The fifth-generation (5G) mobile network is growing rapidly and is set to revolutionize the way we communicate, work and live. It offers faster speeds, lower latency, and greater capacity than previous generations of mobile networks. Three main use cases have been defined for fifth-generation...
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Spring 2021
Nowadays, leakage detection is of great importance as pipelines are the major means of transporting hydrocarbon fluids and gases. In this thesis, we propose two methods based on supervised learning and filtering to deal with the pipeline leakage detection problem. First, a novel two-stage...
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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 2024
Deep learning-based segmentation plays a crucial role in computer and robot vision. Traditional approaches have predominantly relied on RGB (i.e., color) imagery, given its widespread availability and usage. However, the innate issues with color imagery, such as cluttered backgrounds and poor...