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从传感器到数据智能:利用物联网,云和边缘计算与AI.

Ilenia Ficili1, Maurizio Giacobbe1, Giuseppe Tricomi1,2,3

  • 1Department of Engineering, University of Messina, 98166 Messina, Italy.

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概括

整合物联网 (IoT),云,边缘计算和人工智能将数据转化为可操作的智能. 这使得实时决策和更智能基础设施的预测见解成为可能.

关键词:
在这里,我们可以看到AIAIAI.这就是为什么物联网物联网物联网.云计算是云计算中的一个.边缘计算是一种边缘计算.联合学习的联合学习传感器 传感器 传感器

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科学领域:

  • 计算机科学 计算机科学
  • 数据科学数据科学数据科学
  • 工程 工程师 工程师 工程师

背景情况:

  • 连接设备和传感器网络的指数级增长彻底改变了数据收集.
  • 真正的价值在于将原始数据转化为可操作的情报.
  • 现有的系统经常在实时处理和可操作的洞察力方面扎.

研究的目的:

  • 探索整合物联网,云计算,边缘计算和人工智能的创新方法.
  • 为了实现实时决策和预测分析.
  • 为了实现更智能基础设施的普遍环境智能.

主要方法:

  • 分析物联网,云/边缘计算和人工智能之间的集成方法.
  • 检查现实世界的例子和应用.
  • 确定无集成的挑战和解决方案.

主要成果:

  • 展示如何将物联网,云,边缘和人工智能结合起来,实现实时决策.
  • 强调这些技术在预测分析和低延迟处理中的作用.
  • 分析成功的融合策略及其影响.

结论:

  • 物联网,云,边缘计算和AI的整合对于将数据转化为可操作的智能至关重要.
  • 这种集成有助于实时决策和预测洞察力.
  • 这些发现为开发更智能,更可持续的基础设施提供了路线图,通过普遍的环境智能.