https://www.scipedia.com/wd/index.php?action=history&feed=atom&title=Shrestha_et_al_2015aShrestha et al 2015a - Revision history2026-04-21T15:36:50ZRevision history for this page on the wikiMediaWiki 1.27.0-wmf.10https://www.scipedia.com/wd/index.php?title=Shrestha_et_al_2015a&diff=195323&oldid=prevScipediacontent: Scipediacontent moved page Draft Content 733771550 to Shrestha et al 2015a2021-01-28T22:41:34Z<p>Scipediacontent moved page <a href="/public/Draft_Content_733771550" class="mw-redirect" title="Draft Content 733771550">Draft Content 733771550</a> to <a href="/public/Shrestha_et_al_2015a" title="Shrestha et al 2015a">Shrestha et al 2015a</a></p>
<table class="diff diff-contentalign-left" data-mw="interface">
<tr style='vertical-align: top;' lang='en'>
<td colspan='1' style="background-color: white; color:black; text-align: center;">← Older revision</td>
<td colspan='1' style="background-color: white; color:black; text-align: center;">Revision as of 22:41, 28 January 2021</td>
</tr><tr><td colspan='2' style='text-align: center;' lang='en'><div class="mw-diff-empty">(No difference)</div>
</td></tr></table>Scipediacontenthttps://www.scipedia.com/wd/index.php?title=Shrestha_et_al_2015a&diff=195322&oldid=prevScipediacontent: Created page with " == Abstract == Bayesian networks (BNs) have been used in different contexts of decision support solutions such as directive, strategic, tactical and operational. These conte..."2021-01-28T22:41:30Z<p>Created page with " == Abstract == Bayesian networks (BNs) have been used in different contexts of decision support solutions such as directive, strategic, tactical and operational. These conte..."</p>
<p><b>New page</b></p><div><br />
== Abstract ==<br />
<br />
Bayesian networks (BNs) have been used in different contexts of decision support solutions such as directive, strategic, tactical and operational. These contexts differ from each other only in the realization of the decision support in terms of time. The real-time implementation of BN in an embedded system for resource optimization is very challenging because of the low computation capacity in embedded systems and, to the best of our knowledge, has not been reported yet. In this paper, we present a BN based predictive assistance system that uses real-life data to perform the real-time decision support in industrial cleaning processes.<br />
<br />
<br />
== Original document ==<br />
<br />
The different versions of the original document can be found in:<br />
<br />
* [http://publica.fraunhofer.de/documents/N-374298.html http://publica.fraunhofer.de/documents/N-374298.html]<br />
<br />
* [http://xplorestaging.ieee.org/ielx7/7270516/7281697/07281718.pdf?arnumber=7281718 http://xplorestaging.ieee.org/ielx7/7270516/7281697/07281718.pdf?arnumber=7281718],<br />
: [http://dx.doi.org/10.1109/indin.2015.7281718 http://dx.doi.org/10.1109/indin.2015.7281718]<br />
<br />
* [https://dblp.uni-trier.de/db/conf/indin/indin2015.html#ShresthaLN15 https://dblp.uni-trier.de/db/conf/indin/indin2015.html#ShresthaLN15],<br />
: [https://ieeexplore.ieee.org/document/7281718 https://ieeexplore.ieee.org/document/7281718],<br />
: [https://academic.microsoft.com/#/detail/1675133389 https://academic.microsoft.com/#/detail/1675133389]</div>Scipediacontent