<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[RSS Feed]]></title><description><![CDATA[RSS Feed]]></description><link>http://direct.ecency.com</link><image><url>http://direct.ecency.com/logo512.png</url><title>RSS Feed</title><link>http://direct.ecency.com</link></image><generator>RSS for Node</generator><lastBuildDate>Fri, 01 May 2026 02:28:08 GMT</lastBuildDate><atom:link href="http://direct.ecency.com/created/intrusiondetectionsystem/rss.xml" rel="self" type="application/rss+xml"/><item><title><![CDATA[Evaluation of Machine Learning Algorithms for Intrusion Detection System]]></title><description><![CDATA[The last decade has seen rapid advancements in machine learning techniques enabling automation and predictions in scales never imagined before. This further prompts researchers and engineers to conceive]]></description><link>http://direct.ecency.com/machinelearning/@cuelogictech/evaluation-of-machine-learning-algorithms-for-intrusion-detection-system</link><guid isPermaLink="true">http://direct.ecency.com/machinelearning/@cuelogictech/evaluation-of-machine-learning-algorithms-for-intrusion-detection-system</guid><category><![CDATA[machinelearning]]></category><dc:creator><![CDATA[cuelogictech]]></dc:creator><pubDate>Mon, 13 May 2019 10:54:15 GMT</pubDate><enclosure url="https://images.ecency.com/p/F1sR3uPuh6L75sAAZJ6AapR5kiZnTBVvczxiEeuYyuDszSEYxJYAMGTfeJfQBqMZgZdWLCPiBtz9fWkHAHBi21JNcNqLsHY6QQnoWiGs6YysuMa4Mn3GioWm88TroVe9B9B1cChcvth1ZCJpWhhsfrgwsXPXEvAQHc5YuJJnBgQoubb9sQwvQ239a44BkkJ89N7BEHZBD1bWCb2cKNALNTH5C9i6?format=match&amp;mode=fit" length="0" type="false"/></item></channel></rss>