"计算机视觉和图像传感中的机器学习:理论和应用"特别号的编辑
Subrata Chakraborty1,2,3, Biswajeet Pradhan2,4
1School of Science and Technology, University of New England, Armidale, NSW 2351, Australia.
Sensors (Basel, Switzerland)
|May 11, 2024
概括
机器学习模型越来越多地用于多式联运数据分析. 这种增长凸显了他们在各种科学领域的潜力.
科学领域:
- 多模式数据分析数据分析多模式数据分析
- 机器学习应用程序 机器学习应用程序
背景情况:
- 在过去的十年中,机器学习 (ML) 模型取得了重大进展.
- 机器学习模型越来越多地用于分析复杂的多式联运数据集.
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