<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/">
  <channel>
    <title>Enhancing on Tenu Tech Brief</title>
    <link>https://cluster-site.onrender.com/tags/enhancing/</link>
    <description>Recent content in Enhancing on Tenu Tech Brief</description>
    <generator>Hugo -- 0.146.0</generator>
    <language>en-us</language>
    <lastBuildDate>Thu, 26 Feb 2026 06:03:06 +0000</lastBuildDate>
    <atom:link href="https://cluster-site.onrender.com/tags/enhancing/index.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>Enhancing Cellular-enabled Collaborative Robots Planning through GNSS data for SAR Scenarios</title>
      <link>https://cluster-site.onrender.com/posts/enhancing-cellular-enabled-collaborative-robots-planning-through-gnss-data-for-sar-scenarios/</link>
      <pubDate>Thu, 26 Feb 2026 05:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/enhancing-cellular-enabled-collaborative-robots-planning-through-gnss-data-for-sar-scenarios/</guid>
      <description>• Computer Science &amp;gt; Robotics [Submitted on 25 Feb 2026] Title:Enhancing Cellular-enabled Collaborative Robots Planning through GNSS data for SAR Scenarios View PDF HTML (experimen</description>
    </item>
    <item>
      <title>Enhancing Heat Sink Efficiency in MOSFETs using Physics Informed Neural Networks: A Systematic Study on Coolant Velocity Estimation</title>
      <link>https://cluster-site.onrender.com/posts/enhancing-heat-sink-efficiency-in-mosfets-using-physics-informed-neural-networks-a-systematic-study-on-coolant-velocity-estimation/</link>
      <pubDate>Wed, 25 Feb 2026 05:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/enhancing-heat-sink-efficiency-in-mosfets-using-physics-informed-neural-networks-a-systematic-study-on-coolant-velocity-estimation/</guid>
      <description>• Computer Science &amp;gt; Neural and Evolutionary Computing [Submitted on 13 Feb 2026] Title:Enhancing Heat Sink Efficiency in MOSFETs using Physics Informed Neural Networks: A Systemat</description>
    </item>
    <item>
      <title>AMD AOMP 23.0-0 Compiler Continues Enhancing Fortran Support</title>
      <link>https://cluster-site.onrender.com/posts/amd-aomp-23.0-0-compiler-continues-enhancing-fortran-support/</link>
      <pubDate>Sat, 21 Feb 2026 10:55:13 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/amd-aomp-23.0-0-compiler-continues-enhancing-fortran-support/</guid>
      <description>• AMD AOMP 23.0-0 Compiler Continues Enhancing Fortran Support AMD AOMP 23.0-0 was released overnight as the latest build of this LLVM/Clang downstream that continues to carry the</description>
    </item>
    <item>
      <title>Enhancing Diversity and Feasibility: Joint Population Synthesis from Multi-source Data Using Generative Models</title>
      <link>https://cluster-site.onrender.com/posts/enhancing-diversity-and-feasibility-joint-population-synthesis-from-multi-source-data-using-generative-models/</link>
      <pubDate>Wed, 18 Feb 2026 05:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/enhancing-diversity-and-feasibility-joint-population-synthesis-from-multi-source-data-using-generative-models/</guid>
      <description>• Computer Science &amp;gt; Artificial Intelligence [Submitted on 17 Feb 2026] Title:Enhancing Diversity and Feasibility: Joint Population Synthesis from Multi-source Data Using Generativ</description>
    </item>
    <item>
      <title>Enhancing Diversity and Feasibility: Joint Population Synthesis from Multi-source Data Using Generative Models</title>
      <link>https://cluster-site.onrender.com/posts/enhancing-diversity-and-feasibility-joint-population-synthesis-from-multi-source-data-using-generative-models/</link>
      <pubDate>Wed, 18 Feb 2026 05:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/enhancing-diversity-and-feasibility-joint-population-synthesis-from-multi-source-data-using-generative-models/</guid>
      <description>• Computer Science &amp;gt; Artificial Intelligence [Submitted on 17 Feb 2026] Title:Enhancing Diversity and Feasibility: Joint Population Synthesis from Multi-source Data Using Generativ</description>
    </item>
    <item>
      <title>Enhancing Android security: Stop malware from snooping on your app data</title>
      <link>https://cluster-site.onrender.com/posts/enhancing-android-security-stop-malware-from-snooping-on-your-app-data/</link>
      <pubDate>Thu, 11 Dec 2025 17:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/enhancing-android-security-stop-malware-from-snooping-on-your-app-data/</guid>
      <description>• 11 December 2025 Enhancing Android security: Stop malware from snooping on your app data Security is foundational to Android. • We partner with you to keep the platform safe and</description>
    </item>
    <item>
      <title>Enhancing Uber&#39;s Guidance Heatmap with Deep Probabilistic Models</title>
      <link>https://cluster-site.onrender.com/posts/enhancing-ubers-guidance-heatmap-with-deep-probabilistic-models/</link>
      <pubDate>Tue, 18 Nov 2025 14:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/enhancing-ubers-guidance-heatmap-with-deep-probabilistic-models/</guid>
      <description>• Enhancing Uber&amp;rsquo;s Guidance Heatmap with Deep Probabilistic Models 18 November 2025 / GlobalIntroduction At Uber, giving high quality guidance to drivers is crucial for smoothing t</description>
    </item>
  </channel>
</rss>
