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		<title>Maurer et al 2019b - Revision history</title>
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		<updated>2026-04-21T22:24:11Z</updated>
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		<title>Scipediacontent: Scipediacontent moved page Draft Content 728253562 to Maurer et al 2019b</title>
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				<updated>2021-02-02T06:37:10Z</updated>
		
		<summary type="html">&lt;p&gt;Scipediacontent moved page &lt;a href=&quot;/public/Draft_Content_728253562&quot; class=&quot;mw-redirect&quot; title=&quot;Draft Content 728253562&quot;&gt;Draft Content 728253562&lt;/a&gt; to &lt;a href=&quot;/public/Maurer_et_al_2019b&quot; title=&quot;Maurer et al 2019b&quot;&gt;Maurer et al 2019b&lt;/a&gt;&lt;/p&gt;
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				&lt;td colspan='1' style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;← Older revision&lt;/td&gt;
				&lt;td colspan='1' style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;Revision as of 06:37, 2 February 2021&lt;/td&gt;
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		<author><name>Scipediacontent</name></author>	</entry>

	<entry>
		<id>https://www.scipedia.com/wd/index.php?title=Maurer_et_al_2019b&amp;diff=202817&amp;oldid=prev</id>
		<title>Scipediacontent: Created page with &quot; == Abstract ==  This paper extends on the initial findings of “APPLICATION OF ARTIFICIAL INTELLIGENCE IN THE NATIONAL AIRSPACE SYSTEM - A PRIMER” (Stroup &amp; Niewoehner: He...&quot;</title>
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				<updated>2021-02-02T06:37:06Z</updated>
		
		<summary type="html">&lt;p&gt;Created page with &amp;quot; == Abstract ==  This paper extends on the initial findings of “APPLICATION OF ARTIFICIAL INTELLIGENCE IN THE NATIONAL AIRSPACE SYSTEM - A PRIMER” (Stroup &amp;amp; Niewoehner: He...&amp;quot;&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;&lt;br /&gt;
== Abstract ==&lt;br /&gt;
&lt;br /&gt;
This paper extends on the initial findings of “APPLICATION OF ARTIFICIAL INTELLIGENCE IN THE NATIONAL AIRSPACE SYSTEM - A PRIMER” (Stroup &amp;amp; Niewoehner: Herndon, VA; ICNS-2019), and looks at why the current technologies, enterprise architecture, and future program plans may not be enough to address persistent operational challenges. This paper further explores why emergent operational concepts, business models, and demand profiles may necessitate Artificial Intelligence (AI)-enhanced Communications, Navigation and Communications (CNS) infrastructure to disrupt current operational impediments. European airspace, as well as the NAS, has similar challenges. Key challenges explored in this study include: traffic flow management of diverse users; VAS Traffic Management - Air Traffic Management (UTM-ATM) airspace integration; equitable access to airspace; information exchange networks and airborne-ground interoperability of AI applications. Finally, we examine why trustworthiness and resiliency will be key mileposts on the regulatory pathway to AI certification.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Original document ==&lt;br /&gt;
&lt;br /&gt;
The different versions of the original document can be found in:&lt;br /&gt;
&lt;br /&gt;
* [https://elib.dlr.de/134472 https://elib.dlr.de/134472]&lt;br /&gt;
&lt;br /&gt;
* [https://elib.dlr.de/134472/1/20190030758.pdf https://elib.dlr.de/134472/1/20190030758.pdf]&lt;br /&gt;
&lt;br /&gt;
* [http://xplorestaging.ieee.org/ielx7/9069808/9081608/09081768.pdf?arnumber=9081768 http://xplorestaging.ieee.org/ielx7/9069808/9081608/09081768.pdf?arnumber=9081768],&lt;br /&gt;
: [http://dx.doi.org/10.1109/dasc43569.2019.9081768 http://dx.doi.org/10.1109/dasc43569.2019.9081768]&lt;br /&gt;
&lt;br /&gt;
* [https://ntrs.nasa.gov/search.jsp?R=20190030758 https://ntrs.nasa.gov/search.jsp?R=20190030758],&lt;br /&gt;
: [https://academic.microsoft.com/#/detail/2979979796 https://academic.microsoft.com/#/detail/2979979796]&lt;/div&gt;</summary>
		<author><name>Scipediacontent</name></author>	</entry>

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