RCNN Ticker
@RCNNticker · Post #315 · 12/19/2017, 04:21 PM
全球第五个单人六重蓝竹笋 也是 呆瓜 @DuangWB (原 @DuangW) 的第二个单六 于 12 月 10 日 清晨 06:49 (中国 04:49) 耗时 5h18min 再次在澳大利亚布里斯班完成 距第四个单六竹笋被呆瓜于 11 月 26 日 耗时 8h48min 完成 仅过两周 #Homogeneous
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Source channel @githubtrending · Post #14949 · Jul 12
#jupyter_notebook#darknet#pytorch#scaled_yolov4#yolor#yolov3#yolov4#yolov7 YOLOv7 is a powerful tool for detecting objects in images and videos. It is fast, accurate, and can work well on devices with limited power, making it useful for real-time applications like self-driving cars and surveillance systems. YOLOv7 uses advanced techniques like Feature Pyramid Networks to detect objects of different sizes and can handle complex scenes with overlapping objects. This makes it beneficial for users who need quick and precise object detection in various environments. https://github.com/WongKinYiu/yolov7
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ФГБУН Институт высокотемпературной электрохимии УрО РАН
@ihteubras · Post #329 · 07/18/2023, 05:16 AM
В журнале Electrochemical Materials and Technologies вышла обзорная работа "H/D exchange studies of methane activation mechanisms in heterogeneous catalysis" 🔗https://doi.org/10.15826/elmattech.2023.2.014 🔗https://journals.urfu.ru/index.php/elmattech/article/view/6883 В данном обзоре подробно рассматривается механизм конверсии метана и анализируются существующие теоретические и экспериментальные подходы к изотопному обмену H/D между метаном и каталитическими системами: #CH4#methane#conversion#isotope#catalyst#bonds#homogeneous#exchange #