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Machine Learning, IoT and Artificial Intelligence for Sustainable Development

Om Machine Learning, IoT and Artificial Intelligence for Sustainable Development

Nowadays, the newest technologies, devices, and techniques related to IoT, machine learning, and artificial intelligence are constantly developing. Therefore, they have a significant impact on our sustainable lifestyle. Accordingly, the application domain of these technologies and tools involves agriculture, water management, healthcare, bioinformatics, smart grid, smart cities, security, and so on. In addition, the IoT has brought an innovative perspective that is totally distinct from the usual approaches: the former consists of a device that can communicate with the network and is capable of implementing intelligent solutions. The goal of this Special Issue is to create a common gateway between researchers, allowing them to exchange and share their results related to the application of IoT, artificial intelligence, and machine learning in various domains.

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  • Språk:
  • Engelska
  • ISBN:
  • 9783036599267
  • Format:
  • Inbunden
  • Sidor:
  • 322
  • Utgiven:
  • 8. januari 2024
  • Mått:
  • 175x25x250 mm.
  • Vikt:
  • 1007 g.
Leveranstid: 2-4 veckor
Förväntad leverans: 17. december 2024

Beskrivning av Machine Learning, IoT and Artificial Intelligence for Sustainable Development

Nowadays, the newest technologies, devices, and techniques related to IoT, machine learning, and artificial intelligence are constantly developing. Therefore, they have a significant impact on our sustainable lifestyle. Accordingly, the application domain of these technologies and tools involves agriculture, water management, healthcare, bioinformatics, smart grid, smart cities, security, and so on. In addition, the IoT has brought an innovative perspective that is totally distinct from the usual approaches: the former consists of a device that can communicate with the network and is capable of implementing intelligent solutions. The goal of this Special Issue is to create a common gateway between researchers, allowing them to exchange and share their results related to the application of IoT, artificial intelligence, and machine learning in various domains.

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