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		<title>Jafari et al 2020a - Revision history</title>
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		<updated>2026-04-10T21:08:43Z</updated>
		<subtitle>Revision history for this page on the wiki</subtitle>
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		<id>https://www.scipedia.com/wd/index.php?title=Jafari_et_al_2020a&amp;diff=208299&amp;oldid=prev</id>
		<title>Scipediacontent: Scipediacontent moved page Draft Content 579018177 to Jafari et al 2020a</title>
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				<updated>2021-02-03T19:47:19Z</updated>
		
		<summary type="html">&lt;p&gt;Scipediacontent moved page &lt;a href=&quot;/public/Draft_Content_579018177&quot; class=&quot;mw-redirect&quot; title=&quot;Draft Content 579018177&quot;&gt;Draft Content 579018177&lt;/a&gt; to &lt;a href=&quot;/public/Jafari_et_al_2020a&quot; title=&quot;Jafari et al 2020a&quot;&gt;Jafari et al 2020a&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 19:47, 3 February 2021&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan='2' style='text-align: center;' lang='en'&gt;&lt;div class=&quot;mw-diff-empty&quot;&gt;(No difference)&lt;/div&gt;
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		<author><name>Scipediacontent</name></author>	</entry>

	<entry>
		<id>https://www.scipedia.com/wd/index.php?title=Jafari_et_al_2020a&amp;diff=208298&amp;oldid=prev</id>
		<title>Scipediacontent: Created page with &quot; == Abstract ==  Pipelines have been extensively implemented to transfer oil as well as gas products at wide distances as they are safe, and suitable. However, numerous sorts...&quot;</title>
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				<updated>2021-02-03T19:47:16Z</updated>
		
		<summary type="html">&lt;p&gt;Created page with &amp;quot; == Abstract ==  Pipelines have been extensively implemented to transfer oil as well as gas products at wide distances as they are safe, and suitable. However, numerous sorts...&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;
Pipelines have been extensively implemented to transfer oil as well as gas products at wide distances as they are safe, and suitable. However, numerous sorts of damages may happen to the pipeline, for instance erosion, cracks, and dent. Hence, if these faults are not properly refit will result in the pipeline demolitions having leak or segregation which leads to tremendously environment risks. Deep learning methods aid operators to recognize the earliest phases of threats to the pipeline, supplying them time and information in order to handle the problem efficiently. This paper illustrates fundamental implications of deep learning comprising convolutional neural networks. Furthermore the usages of deep learning approaches for hampering pipeline detriment through the earliest diagnosis of threats are introduced.&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;
* [http://eprints.whiterose.ac.uk/156089/1/IS20_2_FOR_CONFIRMATION.pdf http://eprints.whiterose.ac.uk/156089/1/IS20_2_FOR_CONFIRMATION.pdf]&lt;br /&gt;
&lt;br /&gt;
* [http://eprints.whiterose.ac.uk/156089 http://eprints.whiterose.ac.uk/156089],&lt;br /&gt;
: [https://academic.microsoft.com/#/detail/3089054406 https://academic.microsoft.com/#/detail/3089054406]&lt;br /&gt;
&lt;br /&gt;
* [http://xplorestaging.ieee.org/ielx7/9199010/9199838/09200137.pdf?arnumber=9200137 http://xplorestaging.ieee.org/ielx7/9199010/9199838/09200137.pdf?arnumber=9200137],&lt;br /&gt;
: [http://dx.doi.org/10.1109/is48319.2020.9200137 http://dx.doi.org/10.1109/is48319.2020.9200137]&lt;/div&gt;</summary>
		<author><name>Scipediacontent</name></author>	</entry>

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