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人工智能方法用于对上大气层短暂发光事件的图像进行分类

Axi Aguilera1, Vidya Manian1

  • 1Department of Electrical and Computer Engineering, University of Puerto Rico at Mayaguez, Mayagüez, PR 00681, USA.

Sensors (Basel, Switzerland)
|May 25, 2024
PubMed
概括

使用CNN和视觉转换器等深度学习模型自动对短暂发光事件 (TLEs) 的分类显著提高了效率. ResNet50在识别这些高层大气现象方面表现出最高的准确性.

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Flame Photometry: Overview01:02

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Flame photometry, also known as flame emission spectrometry, is a technique used for the qualitative and quantitative analysis of elements present in a sample using a flame as the source of excitation energy. The concept of flame photometry was realized in the early 1860s by Kirchhoff and Bunsen, who discovered that specific elements emit characteristic radiation when excited in flames. The first instrument developed for this purpose was used to measure sodium (Na) in plant ash using a Bunsen...