Nature-Inspired Optimization Methodologies in Biomedical and Healthcare. Este artículo no está disponible.
Idioma: inglés
Editorial: Springer, 2023
- Tapa blanda
- Nuevo



Librería: preigu, Osnabrück, Alemaniapreigu
Vendedor de IberLibro desde 5 de agosto de 2024
Condición: Nuevo
EUR 167,00
Descripción del artículo del vendedor
Nature-Inspired Optimization Methodologies in Biomedical and Healthcare | Janmenjoy Nayak (u. a.) | Taschenbuch | Intelligent Systems Reference Library | xviii | Englisch | 2023 | Springer | EAN 9783031175466 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
N° de ref. del artículo 127901606
- Título
- Nature-Inspired Optimization Methodologies in Biomedical and Healthcare
- Autor
- Janmenjoy Nayak (u. a.)
- Editorial
- Springer
- Año de publicación
- 2023
- Estado
- Neu
- Encuadernación
- Taschenbuch
- Idioma
- inglés
- ISBN 10
- 3031175468
- ISBN 13
- 9783031175466
- Peso del artículo
- 476 gramos
- Dimensiones
- 235 x 155 x 17 mm
- Catálogos de vendedores
- Bücher
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.
“Sinopsis” puede pertenecer a otra edición de este título.
De la contraportada
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.
“Acerca de” puede pertenecer a otra edición de este título.