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    Facial Behavioral Analysis: A Case Study in Deception Detection

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    Publication date
    2014-02-05
    Author
    Yap, Moi Hoon
    Ugail, Hassan
    Zwiggelaar, R.
    Keyword
    Facial behavioural analysis; Deception; FACS coding; Machine learning; Classification.
    Rights
    © 2014 Yap et al. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
    Peer-Reviewed
    Yes
    
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    Abstract
    The objective of every wind energy producer is to reduce operational costs associated to the production as a way to increase profits. One other issue that must be looked carefully is the equipment maintenance. Increase the availability of wind turbines by reducing the downtime associated to failures is a good strategy to achieve the main goal of increase profits. As a way to help in the definition of the best maintenance strategies, condition monitoring systems (CMS) have an important role to play. Informatics tools to make the condition monitoring of the wind turbines were developed and are now being installed as a way to help producers reducing the operational costs. There are a lot of developed systems to do the monitoring of a wind turbine or the whole wind park, in this paper will be made an overview of the most important systems.
    URI
    http://hdl.handle.net/10454/8168
    Version
    published version paper
    Citation
    Yap MH, Ugail H and Zwiggelaar R (2014) Facial Behavioral Analysis: A Case Study in Deception Detection. British Journal of Applied Science and Technology. 4(10): 1485-1496.
    Link to publisher’s version
    http://dx.doi.org/10.9734/BJAST/2014/6369
    Type
    Article
    Collections
    Engineering and Informatics Publications

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