Imaging process and data management of drinking water bacteria
Water in Singapore is treated to make it safe for consumption. Many tests are conducted to eliminate harmful bacteria; however, the common treatment methods may not be effective in removing all the bacteria that may cause harm. Machine learning can be introduced to improve on the filtering process,...
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Final Year Project |
| Language: | English |
| Published: |
2019
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/10356/77958 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | Water in Singapore is treated to make it safe for consumption. Many tests are conducted to eliminate harmful bacteria; however, the common treatment methods may not be effective in removing all the bacteria that may cause harm. Machine learning can be introduced to improve on the filtering process, allowing classification of bacteria of interest. An initial study of the bacteria followed by the designing of a classifier will boost the detection and classification process. This project proposes an implementation of Support Vector Machine and Artificial Neural Network Classifiers to enable classification and predictions of giardia from samples of water. |
|---|