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Spring 2021

You, Jihao

A precision feeding (PF) system developed at the University of Alberta is an innovation in precise nutrition and management for broiler breeders. The PF system can automatically feed individual broiler breeders and record vast amounts of real-time data regarding the feeding activity of individual...

Fall 2014

Izakian, Hesam

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...

Spring 2019

Riazi, Mohammad

When a machine or a component of a machine fails, corrective maintenance is performed to identify the cause of failure and decide on a repair mechanism to restore the machine to its normal working condition. However, because the machine has failed without any prior warning, a considerable amount...

Fall 2014

Sadoddin, Reza

We address the problem of finding ‘surprising’ patterns of variable length in sequence data, where a surprising pattern is defined as a subsequence of a longer sequence, whose observed frequency is statistically significant with respect to a given distribution.Finding statistically significant...

Fall 2024

Bao, Jinan

In the realm of image processing, machine learning models have achieved remarkable progress in tasks such as classiffcation, recognition, and video analysis. However, their reliance on closed-set assumptions limits their performance in real-world scenarios where unseen anomalies frequently occur....

Fall 2016

Golmohammadi, Seyed Koosha

Anomaly detection in time series is one of the fundamental issues in data mining. It addresses various problems in different domains such as intrusion detection in computer networks, anomaly detection in healthcare sensory data, and fraud detection in securities. Though there has been extensive...