Artificial intelligence monitoring at the edge for smart nation deployment
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 no...
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2019
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sg-ntu-dr.10356-772862023-07-07T16:03:45Z Artificial intelligence monitoring at the edge for smart nation deployment Wang, Ziao Gan Woon Seng School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering 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. Bachelor of Engineering (Electrical and Electronic Engineering) 2019-05-24T02:44:47Z 2019-05-24T02:44:47Z 2019 Final Year Project (FYP) http://hdl.handle.net/10356/77286 en Nanyang Technological University 55 p. application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering Wang, Ziao Artificial intelligence monitoring at the edge for smart nation deployment |
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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. |
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Gan Woon Seng |
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Gan Woon Seng Wang, Ziao |
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Final Year Project |
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Wang, Ziao |
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Wang, Ziao |
title |
Artificial intelligence monitoring at the edge for smart nation deployment |
title_short |
Artificial intelligence monitoring at the edge for smart nation deployment |
title_full |
Artificial intelligence monitoring at the edge for smart nation deployment |
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Artificial intelligence monitoring at the edge for smart nation deployment |
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Artificial intelligence monitoring at the edge for smart nation deployment |
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artificial intelligence monitoring at the edge for smart nation deployment |
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2019 |
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http://hdl.handle.net/10356/77286 |
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1772825334145613824 |