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.

Saved in:
Bibliographic Details
Main Author: Louai Asaid
Format: text::Thesis
Language:English
Published: 2023
Tags: Add Tag
No Tags, Be the first to tag this record!
Be the first to leave a comment!
You must be logged in first