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Nature-inspired Optimization Methodologies in Biomedical and Healthcare, Pape...

Description: Nature-inspired Optimization Methodologies in Biomedical and Healthcare, Paperback by Nayak, Janmenjoy (EDT); Das, Asit Kumar (EDT); Naik, Bighnaraj (EDT); Meher, Saroj K. (EDT); Brahnam, Sheryl (EDT), ISBN 3031175468, ISBN-13 9783031175466, Brand New, Free shipping in the US This book introduces a variety of well-proven and newly developed nature-inspired optimization algorithms solving a wide range of real-life biomedical and healthcare problems. Few solo and hybrid approaches are demonstrated in a lucid manner for the effective integration and finding solution for a large-scale complex healthcare problem. In the present bigdata-based computing scenario, nature-inspired optimization techniques present adaptive mechanisms that permit the understanding of complex data and altering environments. This book is a voluminous collection for the confront faced by the healthcare institutions and hospitals for practical analysis, storage, and data analysis. It explores the distinct nature-inspired optimization-based approaches that are able to handle more accurate outcomes for the current biomedical and healthcare problems. In addition to providing a state-of-the-art and advanced intelligent methods, it also enlightens an insight for solving diversified healthcare problems such as cancer and diabetes.

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Location: Jessup, Maryland

End Time: 2024-12-29T14:03:19.000Z

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Nature-inspired Optimization Methodologies in Biomedical and Healthcare, Pape...

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Book Title: Nature-inspired Optimization Methodologies in Biomedical and Heal

Number of Pages: Xviii, 293 Pages

Publication Name: Nature-Inspired Optimization Methodologies in Biomedical and Healthcare

Language: English

Publisher: Springer International Publishing A&G

Subject: Engineering (General), Intelligence (Ai) & Semantics, General, Biomedical

Publication Year: 2023

Type: Textbook

Item Weight: 16.9 Oz

Subject Area: Mathematics, Computers, Technology & Engineering

Author: Asit Kumar Das

Item Length: 9.3 in

Item Width: 6.1 in

Series: Intelligent Systems Référence Library

Format: Trade Paperback

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