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Nature-Derived Sensors

Om Nature-Derived Sensors

Nature-Derived Sensors: Basic Principles and Recent Advances offers a wide range of information on nature-inspired solutions for modern sensor technology. A branch of biomimetics science, biomimetic sensors, and sensing technologies have grown rapidly and widely and therefore have found real industrial applications as emerging technologies. As a result of the demand for low-cost, high-quality, and smart sensors, challenges across many scientific fields can be resolved by learning from nature solutions. This book begins with an introductory section dealing with fundamental and basic information about biomimetic mechanisms, materials, algorithms, and tools. Various classes of nature-inspired sensors are also discussed. This book is an excellent reference for graduate students and researchers working with biomimetic sensors, their industrial applications, data science, artificial intelligence, and the Internet of Things in the processing of sensory data.

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  • Språk:
  • Engelsk
  • ISBN:
  • 9780443220029
  • Bindende:
  • Paperback
  • Sider:
  • 450
  • Utgitt:
  • 1. oktober 2024
  • BLACK NOVEMBER
  Gratis frakt
Leveringstid: 2-4 uker
Forventet levering: 19. desember 2024

Beskrivelse av Nature-Derived Sensors

Nature-Derived Sensors: Basic Principles and Recent Advances offers a wide range of information on nature-inspired solutions for modern sensor technology. A branch of biomimetics science, biomimetic sensors, and sensing technologies have grown rapidly and widely and therefore have found real industrial applications as emerging technologies. As a result of the demand for low-cost, high-quality, and smart sensors, challenges across many scientific fields can be resolved by learning from nature solutions. This book begins with an introductory section dealing with fundamental and basic information about biomimetic mechanisms, materials, algorithms, and tools. Various classes of nature-inspired sensors are also discussed. This book is an excellent reference for graduate students and researchers working with biomimetic sensors, their industrial applications, data science, artificial intelligence, and the Internet of Things in the processing of sensory data.

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