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Springer - Nature-Inspired Methods for Smart Healthcare Systems

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Description

Nature-Inspired Methods for Smart Healthcare Systems and Medical Data by Springer provides a comprehensive collection of high-quality research papers. This book focuses on the development of theories, frameworks, architectures, and algorithms designed to solve complex challenges in smart healthcare applications for real industry use. Readers will explore recent theoretical and practical applications of metaheuristics and optimization within various smart healthcare contexts. The text also discusses how optimization techniques can be used to obtain optimal parameters in Machine Learning (ML) and Deep Learning (DL) technologies. This work serves as an open platform for academics and engineers to share unique ideas and investigate the potential convergence of existing technologies in the medical field.

Key Features

This Springer publication gathers high-quality research papers focused on developing theories and architectures for smart healthcare applications.

The book explores practical applications of metaheuristics and optimization techniques used in various smart healthcare contexts.

It details how optimization methods help obtain optimal parameters for Machine Learning and Deep Learning technologies.

The content provides a platform for engineers and academics to share ideas regarding complex challenges in medical data and industry use.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
02 December 2023
Listed Since
06 September 2023

Barcode

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