Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/77286
Title: Artificial intelligence monitoring at the edge for smart nation deployment
Authors: Wang, Ziao
Keywords: DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2019
Abstract: Artificial Intelligence Monitoring at the Edge basically monitors the urban noise classes and sound pressure level in Singapore urban area. In this project, I processed raw Singapore urban noise data collected from Yuhua garden and trained the classifier for 8 different classes of Singapore urban noise with processed noise data using machine learning method. Five different machine learning models are used to train the classifier and their performance are compared to find out the optimizing model under this noise classification scenario.
URI: http://hdl.handle.net/10356/77286
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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