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Full-Text Articles in Engineering
Artificial Intelligence For Helicopter Safety: Head Pose Estimation In The Cockpit, Eric William Feuerstein
Artificial Intelligence For Helicopter Safety: Head Pose Estimation In The Cockpit, Eric William Feuerstein
Theses and Dissertations
The recent impact of deep learning algorithms and their major breakthroughs on various aspects of our lives has led to the idea to investigate the application of these algorithms in different problem spaces. One of the novel areas of investigation is the aviation and air traffic control domain; as it offers a prime opportunity to enhance safety within the aviation community. Of particular importance to this community is improving the safety of rotorcraft operations, as this segment of the aviation industry is subject to a higher fatal accident rate than other segments of the industry. The improvement of safety for …
Towards Machine Self-Awareness - A Bayesian Framework For Uncertainty Propagation In Deep Neural Networks, Dimah Dera
Towards Machine Self-Awareness - A Bayesian Framework For Uncertainty Propagation In Deep Neural Networks, Dimah Dera
Theses and Dissertations
Deep neural networks (DNNs) have surpassed human-level accuracy in various fields, including object recognition and classification. However, DNNs being inherently deterministic, are unable to evaluate their confidence in the decisions. Bayesian inference provides a principled approach to reason about model confidence or uncertainty by estimating the posterior distribution of the unknown parameters. The challenge in DNNs is the multi-layer stages of non-linearities, which makes propagation of high-dimensional distributions mathematically intractable. This dissertation establishes the theoretical and algorithmic foundations of uncertainty or belief propagation by developing new deep learning models that can quantify their uncertainty in the decision and self-assess their …