Photovoltaic Cell Defect Detection Based on Weakly Supervised Learning With Module-Level Annotations
Recently, convolutional neural networks (CNNs) have proven successful in automating the detection of defective photovoltaic (PV) cells within PV modules. Existing studies have built a CNN based on ...
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 ...
Abstract: As the development speed of Moore's Law slows down, advanced packaging has emerged as a pivotal approach to enhancing chip performance, yet the accompanying thermal management challenges ...
Sure, here's the new description with all links removed: Cyberpunk 2077 vs Grand Theft Auto V - Ultra Settings - 1440p System: Windows 10 Pro Ryzen 5 5600X oc 4.7GHz asus rog X570 Crosshair viii Hero ...
The DeepSeek model is currently available on GitHub Within 24 hours of release, it has received over 6K likes The model turns text into pixels to improve its context memory ...
Microphytobenthos community structure; Harmful microalgae; Acute toxicity; Cyanobacterial mats; Toxic dinoflagellates; Subtropical estuary Sampling campaigns were performed approximately every three ...
Can you chip in? This year we’ve reached an extraordinary milestone: 1 trillion web pages preserved on the Wayback Machine. This makes us the largest public repository of internet history ever ...
https://ernie.baidu.com/blog/publication/PaddleOCR-VL_Technical_Report.pdf ...
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