Audio electrical appliances signature identification using neural network
The Thesis is part of an ongoing larger scale research study started in 2011 at the college of engineering in University Tenaga Nasional (UNITEN) which aims to develop an identification system for non- intrusive electrical appliances signature identification using Artificial Intelligence.
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| Format: | text::Thesis |
| Language: | English |
| Published: |
2023
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