This decommissioned ERA site remains active temporarily to support our final migration steps to https://ualberta.scholaris.ca, ERA's new home. All new collections and items, including Spring 2025 theses, are at that site. For assistance, please contact erahelp@ualberta.ca.
Search
Skip to Search Results- 1Artificial Intelligence
- 1Computer security
- 1Convolutional Neural Networks
- 1Deep Learning
- 1Delay Coordinate embedding
- 1Filter Pruning
-
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...
-
Spring 2014
Energy-saving is a key element of Smart Grid. By encouraging consumers to moderate their energy demands, utilities can make more efficient use of their generation assets, and reduce total fuel consumption. For this purpose, we must provide homeowners with appliance energy consumption data,...
-
Spring 2011
We propose a novel approach for detecting visual similarity between two web pages. The proposed approach applies Gestalt theory and considers a webpage as a single indivisible entity. The concept of supersignals, as a realization of Gestalt principles, supports our contention that web pages must...
-
Residential Household Non-Intrusive Load Monitoring Using Multi-Label Classification Methods
DownloadFall 2018
Smart grid provides a sustainable and environment-friendly vision of the future power systems by incorporating smart meter, remote control and communication technologies into the network of electricity generation, distribution and consumption. Residential Demand-Side Management (RDSM) is an...