Developing integrated data fusion algorithms for a portable cargo screening detection system

Towards having a one size fits all solution to cocaine detection at borders; this thesis proposes a systematic cocaine detection methodology that can use raw data output from a fibre optic sensor to produce a set of unique features whose decisions can be combined to lead to reliable output. This mul...

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Bibliographic Details
Main Author: Akiwowo Ayodeji
Format: Default Thesis
Published: 2012
Subjects:
Other built environment and design not elsewhere classified
Data fusion
Bayesian
Dempster Shafer
Feature selection
Spectral
Neural network
Built Environment and Design not elsewhere classified
Online Access:https://hdl.handle.net/2134/9901
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