Search
Skip to Search Results- 84Machine learning
- 8Artificial intelligence
- 5Reinforcement learning
- 3Online learning
- 3Predictions
- 2Adsorption
- 4Mark A. Lewis
- 4Russell Greiner
- 3Noonari, Juned (Supervisor)
- 3Pouria Ramazi
- 2Hindle, Abram
- 2Mélodie Kunegel-Lion
- 63Graduate Studies and Research, Faculty of
- 63Graduate Studies and Research, Faculty of/Theses and Dissertations
- 7Master of Science in Internetworking (MINT)
- 7Master of Science in Internetworking (MINT)/Capstone Projects & Reports (Master of Science in Internetworking (MINT))
- 5Biological Sciences, Department of
- 5Biological Sciences, Department of/Journal Articles (Biological Sciences)
-
2021-01-01
The advent of the internet and the World Wide Web has made vast amounts of information accessible at our fingertips. It is said that an average person living in the modern society is exposed to as much information in a day as a person who lived 100 years ago would have seen in a whole year. But...
-
A Machine Learning Approach to Predict Production Time in Industrialized Building Construction
DownloadFall 2021
Industrialized building construction is an effective approach for improving the performance and management of construction projects by offering higher quality products, minimized environmental impacts, and improved schedule predictability. The industrialized building construction approach...
-
Spring 2010
This thesis presents Pathway Informed Analysis (PIA), a classification method for predicting disease states (diagnosis) from metabolic profile measurements that incorporates biological knowledge in the form of metabolic pathways. A metabolic pathway describes a set of chemical reactions that...
-
A framework for offsite construction manufacturing process improvement through digitalization and automated real-time data collection
DownloadFall 2022
This thesis proposes methods to apply real-time data to improve manufacturing operations in offsite construction using a combination of tools such as simulation, machine learning, and exploratory data analysis. These methods are applied to increase flexibility in operations and digitalize the...
-
Spring 2010
In this work, we present a unified, general approach to variance reduction in agent evaluation using machine learning to minimize variance. Evaluating an agent's performance in a stochastic setting is necessary for agent development, scientific evaluation, and competitions. Traditionally,...
-
Advances in Probabilistic Generative Models: Normalizing Flows, Multi-View Learning, and Linear Dynamical Systems
DownloadFall 2020
This thesis considers some aspects of generative models including my contributions in deep probabilistic generative architectures and linear dynamical systems. First, some advances in deep probabilistic generative models are contributed. Flow-based generative modelling is an emerging and highly...
-
2021-01-01
Automated hacking is a modern approach to conduct computer hacking with a significantly higher performance rate directly or remotely. Automated hacking is carried out by computer programs that are programmed to analyze the vulnerability of a system(s) and carry out hacking attacks based on the...