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|Title:||Imaging process and data management of drinking water bacteria||Authors:||Kamdar, Dhruv Kamlesh||Keywords:||DRNTU::Engineering::Electrical and electronic engineering||Issue Date:||2019||Abstract:||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.||URI:||http://hdl.handle.net/10356/77958||Rights:||Nanyang Technological University||Fulltext Permission:||restricted||Fulltext Availability:||With Fulltext|
|Appears in Collections:||EEE Student Reports (FYP/IA/PA/PI)|
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