Optimizing laboratory investigations of saline intrusion by incorporating machine learning techniques

Georgios Etsias, Gerard A. Hamill, Eric Benner, Jesus F. Águila, Mark C. McDonnell, Raymond Flynn, Ashraf A. Ahmed

School of Natural and Built Environment

Research output: Contribution to journal › Article › peer-review

10 Citations (Scopus)

87 Downloads (Pure)

1 results
- Title
- Start date(ascending)

Application of computer vision on laboratory sandbox investigations
Etsias, G. (Creator), Queen's University Belfast, Mar 2021
https://github.com/GeorgiosEtsias/Computer-Vision-Sandbox-Images
Dataset