£100.21

Springer - Artificial Intelligence for COVID-19 (Studies 358)

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Description

Explore the intersection of technology and global health in this comprehensive volume from Springer. This book provides a compilation of recent implementations of artificial intelligence methods designed to solve various problems generated by the COVID-19 pandemic. While many resources focus solely on healthcare, this work expands its scope to address challenges across multiple different fields. Readers can examine how machine learning and deep learning techniques are applied to real-world scenarios. The text covers a wide range of technical domains including advanced image processing, computational intelligence, IoT, and robotics. By integrating topics such as mathematical modeling, big data, and neural networks, this book serves as a detailed resource for understanding how information technology and data mining can be utilized to manage complex global issues. It is a valuable addition for those studying the application of automation, optimization, and data processing in modern problem-solving contexts.

Key Features

Covers diverse applications of artificial intelligence methods used to address problems arising from the COVID-19 pandemic.

Includes research from multiple sectors, extending beyond medicine into various other professional fields.

Explores technical areas such as machine learning, deep learning, and advanced image processing.

Provides insights into computational intelligence, IoT, robotics, and automation technologies.

Details the use of mathematical modeling, neural networks, and optimization in problem-solving.

Examines data-driven approaches including big data, data mining, and complex data processing.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
21 July 2021
Listed Since
19 January 2021

Barcode

No barcode data available

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