<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>machine learning | Sadra Naddaf</title><link>https://www.sadra.dev/tag/machine-learning/</link><atom:link href="https://www.sadra.dev/tag/machine-learning/index.xml" rel="self" type="application/rss+xml"/><description>machine learning</description><generator>Source Themes Academic (https://sourcethemes.com/academic/)</generator><language>en-us</language><copyright>© 2024 Sadra Naddaf - All Rights Reserved</copyright><lastBuildDate>Mon, 30 May 2022 19:09:42 -0500</lastBuildDate><image><url>https://www.sadra.dev/images/icon_hu816e2f5c59e09e1eb1152837f78b95eb_24768_512x512_fill_lanczos_center_2.png</url><title>machine learning</title><link>https://www.sadra.dev/tag/machine-learning/</link></image><item><title>Automatic Defect Recognition</title><link>https://www.sadra.dev/project/adr/</link><pubDate>Mon, 30 May 2022 19:09:42 -0500</pubDate><guid>https://www.sadra.dev/project/adr/</guid><description>&lt;p>Please refer to open-access paper for detailed explanation. Paper will be online by mid-june 2022.&lt;/p>
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&lt;p>Related links :&lt;/p>
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&lt;a href="https://www.sadra.dev/publication/weldjournal/">Link To Paper&lt;/a>&lt;/li>
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