£135.50

Springer System Design for Epidemics Using ML and DL Book

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Description

Explore the intersection of public health and advanced computing with System Design for Epidemics Using Machine Learning and Deep Learning. Published by Springer as part of the Signals and Communication Technology series, this book provides a specialized look at how modern computational methods address epidemic challenges. This technical resource is designed for professionals and students interested in the application of AI and machine learning within the field of computer science. By focusing on the integration of deep learning models into epidemic system design, the text offers a foundation for understanding how data-driven approaches can improve response strategies. Whether you are studying signal processing or advanced machine learning architectures, this volume serves as a targeted addition to your academic or professional library. It is an essential text for those looking to understand the role of signal and communication technology in managing modern health crises through computational intelligence.

Key Features

Part of the Signals and Communication Technology series by Springer for specialized technical learning.

Focuses on the application of machine learning and deep learning within epidemic system design.

Provides a technical perspective on using AI to address complex public health challenges.

Designed for readers interested in computer science, AI, and machine learning research.

Offers insights into how computational models can be used to study and manage epidemic patterns.

Product Specifications

Format
Paperback
Domain
Amazon UK
Release Date
02 February 2024
Listed Since
07 January 2024

Barcode

No barcode data available

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