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	<title>Flight safety &#8211; BIOENGINEER.ORG</title>
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		<title>Predicting UAV Formation Trajectory with Neural Networks</title>
		<link>https://bioengineer.org/predicting-uav-formation-trajectory-with-neural-networks/</link>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Mon, 26 Jan 2026 18:17:55 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[Autonomous drones]]></category>
		<category><![CDATA[Autonomous flight safety]]></category>
		<category><![CDATA[Drone formation control]]></category>
		<category><![CDATA[Flight safety]]></category>
		<category><![CDATA[Machine learning in aviation** **Açıklama:** 1. **UAV trajectory prediction:** Makalenin ana konusu]]></category>
		<category><![CDATA[Makalenin içeriğine ve anahtar kelimelerine göre en uygun 5 etiket: **UAV trajectory prediction]]></category>
		<category><![CDATA[Neural Networks]]></category>
		<category><![CDATA[Trajectory prediction]]></category>
		<category><![CDATA[UAV formation flying]]></category>
		<category><![CDATA[UAV oluşumlarının yörüngelerindeki sapmaların tahmin edilmesi. 2. **]]></category>
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					<description><![CDATA[In the rapidly advancing world of technology, the utilization of Unmanned Aerial Vehicles (UAVs) or drones has soared to new heights. These remarkable creations have begun to play pivotal roles in numerous sectors, including agriculture, logistics, surveillance, and even environmental monitoring. With their multi-faceted applicability, the integration of smart technologies such as neural networks poses [&#8230;]]]></description>
		
		
		
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