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#deepleanring

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Lin<p>At ICSE <span class="h-card" translate="no"><a href="https://mastodon.social/@icseconf" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>icseconf</span></a></span> 2025? Check out Jiannan Wang’s D3 talk at 2:30 PM today Friday in Room 215 about how we find real-world bugs in production distributed systems code! <a href="https://bsky.app/profile/lin-tan.bsky.social/post/3ljvkq4fjzk23" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">bsky.app/profile/lin-tan.bsky.</span><span class="invisible">social/post/3ljvkq4fjzk23</span></a> <a href="https://mastodon.social/tags/deepleanring" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>deepleanring</span></a> <a href="https://mastodon.social/tags/distributed" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>distributed</span></a> <a href="https://mastodon.social/tags/testing" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>testing</span></a></p>
💧🌏 Greg Cocks<p>Glacial Lake Mapping Using Remote Sensing Geo-Foundation Model<br>--<br><a href="https://doi.org/10.1016/j.jag.2025.104371" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">doi.org/10.1016/j.jag.2025.104</span><span class="invisible">371</span></a> &lt;-- shared paper<br>--<br>HIGHLIGHTS:<br> • Proposed U-ViT model based on Prithvi GFM for multi-sensor glacial lake mapping.<br> • Achieved an F1 score of 0.894 on Sentinel-1&amp;2, surpassing CNNs scoring below 0.8.<br> • Maintains strong performance with 50% less training data, proving efficiency.<br> • Excels in detecting small lakes (&lt;0.01km²) and handling clouds and complex terrains..."<br><a href="https://techhub.social/tags/GIS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GIS</span></a> <a href="https://techhub.social/tags/spatial" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>spatial</span></a> <a href="https://techhub.social/tags/mapping" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>mapping</span></a> <a href="https://techhub.social/tags/glaciallake" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>glaciallake</span></a> <a href="https://techhub.social/tags/GeospatialFoundationModel" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GeospatialFoundationModel</span></a> <a href="https://techhub.social/tags/satellite" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>satellite</span></a> <a href="https://techhub.social/tags/Sentinel" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Sentinel</span></a> <a href="https://techhub.social/tags/GaoFen" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GaoFen</span></a> <a href="https://techhub.social/tags/remotesensing" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>remotesensing</span></a> <a href="https://techhub.social/tags/earthobservation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>earthobservation</span></a> <a href="https://techhub.social/tags/model" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>model</span></a> <a href="https://techhub.social/tags/modeling" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>modeling</span></a> <a href="https://techhub.social/tags/climatechange" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>climatechange</span></a> <a href="https://techhub.social/tags/glacial" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>glacial</span></a> <a href="https://techhub.social/tags/glacier" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>glacier</span></a> <a href="https://techhub.social/tags/melt" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>melt</span></a> <a href="https://techhub.social/tags/melting" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>melting</span></a> <a href="https://techhub.social/tags/UViT" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>UViT</span></a> <a href="https://techhub.social/tags/deepleanring" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>deepleanring</span></a> <a href="https://techhub.social/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://techhub.social/tags/framework" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>framework</span></a> <a href="https://techhub.social/tags/performance" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>performance</span></a> <a href="https://techhub.social/tags/metrics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>metrics</span></a> <a href="https://techhub.social/tags/opensource" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>opensource</span></a></p>
Lab V2<p>Today we post a tutorial on backpropagaion, an important topic to <a href="https://sigmoid.social/tags/deepleanring" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>deepleanring</span></a> and <a href="https://sigmoid.social/tags/machinelearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>machinelearning</span></a> in general - trying to get this out in time as people review for finals. </p><p><a href="https://youtu.be/Xjb6_y4IIME" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://</span><span class="">youtu.be/Xjb6_y4IIME</span><span class="invisible"></span></a> </p><p>@ASU @ASUEngineering @asu_gsi @SCAI_ASU <a href="https://sigmoid.social/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a></p>
Lab V2<p>Today we post a tutorial on gradient descent, an important topic to <a href="https://sigmoid.social/tags/deepleanring" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>deepleanring</span></a> and <a href="https://sigmoid.social/tags/machinelearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>machinelearning</span></a> in general - trying to get this out in time as people review for finals. </p><p><a href="https://youtu.be/-Np5Eu9cLrc" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://</span><span class="">youtu.be/-Np5Eu9cLrc</span><span class="invisible"></span></a> </p><p>@ASU @ASUEngineering @asu_gsi @SCAI_ASU <a href="https://sigmoid.social/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a></p>
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