A research team presents XFruitSeg, a deep learning model designed to accurately segment three-dimensional computed tomography (CT) images of plant fruits.
News-Medical.Net on MSN
How many cities will face unlivable heat by 2100?
Researchers assessed future urban heat exposure and adaptive capacity in 1,563 major cities worldwide, using high-resolution ...
Dot Physics on MSN
Quick Video Analysis of Shai Ross's Barbell Backflip
Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...
The design of sklearn follows the "Swiss Army Knife" principle, integrating six core modules: Data Preprocessing: Similar to ...
A research team has developed a novel deep learning approach that significantly improves the accuracy of assessing plant leaf ...
AtScale, a leader in semantic layer technology, today announced it has been named both a Leader and Fast Mover in the 2025 GigaOm Radar Report for Semantic Layers and Metric Stores. This marks the ...
House lawmakers on Wednesday approved plans for a $893 billion defense authorization bill despite strong objections from Democratic lawmakers about social issue fights. Here, soldiers from the 588th ...
A research team has developed an innovative automated method, SSP-MambaNet, designed to address the challenge of identifying and counting missing virus-free strawberry seedlings in nutrient pots ...
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