Browsing Engineering (Faculty of) by Subject "Artificial intelligence"
Now showing items 1-6 of 6
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A framework for context-aware driver status assessment systems
(University of Waterloo, 2013-08-22)The automotive industry is actively supporting research and innovation to meet manufacturers' requirements related to safety issues, performance and environment. The Green ITS project is among the efforts in that regard. ... -
Intelligent Monte Carlo: A new paradigm for inverse polymerization engineering
(Wiley, 2018-05)Traditional computational methods simulate the microstructure of polymer chains from input reaction conditions, but a need exists for predicting optimum reaction conditions in a computationally-demanding multi-variable ... -
Popular Content Distribution in Public Transportation Using Artificial Intelligence Techniques
(University of Waterloo, 2019-08-20)Outdoor wireless networks suffer nowadays from an increasing data traffic demand which comes at the time where almost no vacant frequency spectrum has been left. A vast majority of this demand comes from popular content ... -
Recurrent Neural Network Dual Resistance Control of Multiple Memory Shape Memory Alloys
(University of Waterloo, 2018-08-23)Shape memory alloys (SMAs) are materials with extraordinary thermomechanical properties which have caused numerous engineering advances. NiTi SMAs in particular have been studied for decades revealing many useful characteristics ... -
Representational Redundancy Reduction Strategies for Efficient Neural Network Architectures for Visual and Language Tasks
(University of Waterloo, 2023-08-14)Deep neural networks have transformed a wide variety of domains including natural language processing, image and video processing, and robotics. However, the computational cost of training and inference with these models ... -
Studying CNN representations through activation dimensionality reduction and visualization
(University of Waterloo, 2021-10-01)The field of explainable artificial intelligence (XAI) aims to explain the decisions of DNNs. Complete DNN explanations accurately reflect the inner workings of the DNN while interpretable explanations are easy for humans ...