This Is AuburnElectronic Theses and Dissertations
  1. AUETD Home
  2. Browsing by Author

Browsing by Author "Paradice, David"

Now showing items 1-5 of 5

Activation Functions as Parameters for Improved Deep Learning 

Locke, James M. (2021-04-20)
Neural networks have evolved into strong and dependable machine learning systems. Practitioners and researchers using them have at their disposal many tuning levers for achieving successful learning. A key task is selecting ...

Forecasting Transformative AI 

Gruetzemacher, Richard Ross (2020-07-20)
Technological forecasting is challenging, and the forecasting of AI progress is even more challenging. Forecasting transformative AI – AI that has great potential for societal transformation – which presents even more ...

A Machine Learning Approach to Transit Fraud Detection 

Claiborne, Jerry (2022-04-25)
This research is a collection of 3 papers on the use of machine learning methods to detect and classify transit media fraud using passenger transaction data. Academically, this work is an extension of machine learning ...

A Multilevel Analysis of Public Value creation in Smart City using Action Design Science Research: A Systems Thinking Perspective 

Dawe, Stephen (2021-07-14)
In the last 20 years significant innovations in technology and its implementation have enabled cities to become smart cities? With this increase in cities embarking on smart city projects, there has been very little focus ...

Three Studies of Shared Digital Labs: The Role of Trust in Business and Maturity Model Development 

Kammerlohr, Valentin (2022-04-06)
Laboratories (labs) complement theoretical teaching/learning content in STEM subjects to promote understanding with practical knowledge and experience. However, these labs are typically expensive and available only to local ...