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Skip to Search Results- 5Time Series Analysis
- 3Damage Detection
- 3Structural Health Monitoring
- 1ARMAX
- 1Anomaly Detection
- 1Banking
- 2Gül, Mustafa (Civil and Environmental Engineering)
- 1Ardakanian, Omid (Computing Science)
- 1Gül, Mustafa (Department of Civil and Environmental Engineering)
- 1Khazaei, Hamzeh (Electrical and Computer Engineering)
- 1Mizera, Ivan (Department of Mathematical and Statistical Sciences)
- 1Reformat, Marek (Electrical and Computer Engineering)
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A Framework for Vibration based Damage Detection of Bridges under Varying Temperature Effects using Artificial Neural Networks and Time Series Analysis
DownloadFall 2015
Structural Health Monitoring (SHM) has become a very important area in civil engineering for evaluating the performance of critical civil infrastructure systems such as bridges. One of the most important issues with continuous SHM is the environmental effects (such as temperature, humidity, wind)...
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Investigation of Time Series Analysis Based Damage Detection Methodologies for Structural Health Monitoring
DownloadFall 2014
Structural Health Monitoring (SHM) is widely accepted as a valuable tool for monitoring, inspecting and maintaining infrastructure systems. Damage detection is one of the most critical components of SHM to identify the existence, location and severity of damage so that effective preventive...
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Spring 2017
In this thesis, we study penalized methods in time series and functional data analysis. In the first part, we introduce regularized periodograms for spectral analysis of unevenly spaced time series. The regularized periodograms, called regularized least squares periodogram and regularized...
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Spring 2018
After a seismic event, it is imperative that critical structural members that are damaged within a building are identified and analyzed as soon as possible to ensure proper remedial measures can be taken. Failure to detect damage or correctly analyze the severity of damage within the building...
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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...