<?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>water quality prediction &#8211; BIOENGINEER.ORG</title>
	<atom:link href="https://bioengineer.org/tag/water-quality-prediction/feed/" rel="self" type="application/rss+xml" />
	<link>https://bioengineer.org</link>
	<description>Bioengineering</description>
	<lastBuildDate>Tue, 20 Oct 2026 19:44:07 +0000</lastBuildDate>
	<language>en-US</language>
	<sy:updatePeriod>
	hourly	</sy:updatePeriod>
	<sy:updateFrequency>
	1	</sy:updateFrequency>
	<generator>https://wordpress.org/?v=7.1.3</generator>

<image>
	<url>https://bioengineer.org/wp-content/uploads/2019/09/cropped-bioengineering-32x32.png</url>
	<title>water quality prediction &#8211; BIOENGINEER.ORG</title>
	<link>https://bioengineer.org</link>
	<width>32</width>
	<height>32</height>
</image> 
<site xmlns="com-wordpress:feed-additions:1">72741379</site>	<item>
		<title>Mahabad Dam modeling study reports 80% lower mean absolute error for total nitrogen predictions</title>
		<link>https://bioengineer.org/mahabad-dam-modeling-study-reports-80-lower-mean-absolute-error-for-total-nitrogen-predictions/</link>
		
		<dc:creator><![CDATA[]]></dc:creator>
		<pubDate>Tue, 20 Oct 2026 19:44:07 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[BiGRU]]></category>
		<category><![CDATA[deep learning]]></category>
		<category><![CDATA[eutrophication]]></category>
		<category><![CDATA[grasshopper optimization]]></category>
		<category><![CDATA[Mahabad Dam]]></category>
		<category><![CDATA[model interpretability]]></category>
		<category><![CDATA[prediction]]></category>
		<category><![CDATA[Reservoir]]></category>
		<category><![CDATA[reservoir eutrophication]]></category>
		<category><![CDATA[Temporal Convolutional Network]]></category>
		<category><![CDATA[total nitrogen]]></category>
		<category><![CDATA[water quality prediction]]></category>
		<guid isPermaLink="false">https://bioengineer.org/?p=442340</guid>

					<description><![CDATA[A Mahabad Dam modeling study reported an 80% reduction in mean absolute error and a rise in Willmott’s index from 0.75 to 0.99 for an integrated total-nitrogen prediction framework compared with a basic BiGRU model.]]></description>
		
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">442340</post-id>	</item>
		<item>
		<title>Scopus bibliometric review maps 2015–2025 growth in AI research for sustainable water management</title>
		<link>https://bioengineer.org/scopus-bibliometric-review-maps-2015-2025-growth-in-ai-research-for-sustainable-water-management/</link>
		
		<dc:creator><![CDATA[]]></dc:creator>
		<pubDate>Tue, 20 Oct 2026 19:25:54 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[Bibliometric analysis]]></category>
		<category><![CDATA[hydrological modelling]]></category>
		<category><![CDATA[knowledge]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[Mapping]]></category>
		<category><![CDATA[Research collaboration]]></category>
		<category><![CDATA[Scopus]]></category>
		<category><![CDATA[sustainable water management]]></category>
		<category><![CDATA[VOSviewer]]></category>
		<category><![CDATA[wastewater treatment]]></category>
		<category><![CDATA[water quality prediction]]></category>
		<guid isPermaLink="false">https://bioengineer.org/?p=442184</guid>

					<description><![CDATA[A bibliometric review of 3,280 Scopus-indexed articles published from 2015 to 2025 maps rapid growth, leading contributors and major themes in artificial intelligence for sustainable water management.]]></description>
		
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">442184</post-id>	</item>
	</channel>
</rss>
