<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
	>

<channel>
	<title>絕熱過程中的異常檢測 Archives &#8212; MATLAB Number ONE</title>
	<atom:link href="https://matlab1.com/product-tag/%e7%b5%95%e7%86%b1%e9%81%8e%e7%a8%8b%e4%b8%ad%e7%9a%84%e7%95%b0%e5%b8%b8%e6%aa%a2%e6%b8%ac/feed/" rel="self" type="application/rss+xml" />
	<link>https://matlab1.com/product-tag/絕熱過程中的異常檢測/</link>
	<description>MATLAB Simulink &#124; Tutorial &#124; Code &#124; Project</description>
	<lastBuildDate>Fri, 03 Dec 2021 06:26:18 +0000</lastBuildDate>
	<language>en-GB</language>
	<sy:updatePeriod>
	hourly	</sy:updatePeriod>
	<sy:updateFrequency>
	1	</sy:updateFrequency>
	

<image>
	<url>https://matlab1.com/wp-content/uploads/2018/08/icon1-100x100.png</url>
	<title>絕熱過程中的異常檢測 Archives &#8212; MATLAB Number ONE</title>
	<link>https://matlab1.com/product-tag/絕熱過程中的異常檢測/</link>
	<width>32</width>
	<height>32</height>
</image> 
	<item>
		<title>Anomaly detection in adiabatic processes</title>
		<link>https://matlab1.com/shop/matlab-code/anomaly-detection-in-adiabatic-processes/</link>
					<comments>https://matlab1.com/shop/matlab-code/anomaly-detection-in-adiabatic-processes/#respond</comments>
		
		<dc:creator><![CDATA[global MATLAB]]></dc:creator>
		<pubDate>Mon, 02 Apr 2018 14:11:16 +0000</pubDate>
				<guid isPermaLink="false">https://matlab1.com/?post_type=product&#038;p=4651</guid>

					<description><![CDATA[<p>Anomaly detection algorithm complements human surveillance in that it is capable of handling both very fast and large volume of observations. In this report, it is instead used to evaluate and detect anomalous behavior in video-recorded extremely slow processes, which can be as challenging for human perception. Morphological image processing techniques are used to separate the slowly evolving foreground from the [&#8230;]</p>
<p>The post <a href="https://matlab1.com/shop/matlab-code/anomaly-detection-in-adiabatic-processes/">Anomaly detection in adiabatic processes</a> appeared first on <a href="https://matlab1.com">MATLAB Number ONE</a>.</p>
]]></description>
		
					<wfw:commentRss>https://matlab1.com/shop/matlab-code/anomaly-detection-in-adiabatic-processes/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
			</item>
	</channel>
</rss>
