Intelligent Systems and Methods to Combat Covid-19

Häftad, Engelska, 2020

Av Amit Joshi, Nilanjan Dey, K. C. Santosh

859 kr

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This book discusses intelligent systems and methods to prevent further spread of COVID-19, including artificial intelligence, machine learning, computer vision, signal processing, pattern recognition, and robotics. It not only explores detection/screening of COVID-19 positive cases using one type of data, such as radiological imaging data, but also examines how data analytics-based tools can help predict/project future pandemics. In addition, it highlights various challenges and opportunities, like social distancing, and addresses issues such as data collection, privacy, and security, which affect the robustness of AI-driven tools. Also investigating data-analytics-based tools for projections using time series data, pattern analysis tools for unusual pattern discovery (anomaly detection) in image data, as well as AI-enabled robotics and its possible uses, the book will appeal to a broad readership, including academics, researchers and industry professionals.

Produktinformation

  • Utgivningsdatum2020-08-27
  • Mått155 x 235 x undefined mm
  • FormatHäftad
  • SpråkEngelska
  • SerieSpringerBriefs in Applied Sciences and Technology
  • Antal sidor91
  • FörlagSpringer Verlag, Singapore
  • ISBN9789811565717