Data Analysis and Optimization for Engineering and Computing Problems - Proceedings of the 3rd EAI International Conference on Computer Science and Engineering and Health Services (Hardcover, 1st ed. 2020)


This book presents the proceedings of The EAI International Conference on Computer Science: Applications in Engineering and Health Services (COMPSE 2019). The conference highlighted the latest research innovations and applications of algorithms designed for optimization applications within the fields of Science, Computer Science, Engineering, Information Technology, Management, Finance and Economics and Health Systems. Focusing on a variety of methods and systems as well as practical examples, this conference is a significant resource for post graduate-level students, decision makers, and researchers in both public and private sectors who are seeking research-based methods for modelling uncertain and unpredictable real-world problems.

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Product Description

This book presents the proceedings of The EAI International Conference on Computer Science: Applications in Engineering and Health Services (COMPSE 2019). The conference highlighted the latest research innovations and applications of algorithms designed for optimization applications within the fields of Science, Computer Science, Engineering, Information Technology, Management, Finance and Economics and Health Systems. Focusing on a variety of methods and systems as well as practical examples, this conference is a significant resource for post graduate-level students, decision makers, and researchers in both public and private sectors who are seeking research-based methods for modelling uncertain and unpredictable real-world problems.

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Product Details

General

Imprint

Springer Nature Switzerland AG

Country of origin

Switzerland

Series

EAI/Springer Innovations in Communication and Computing

Release date

September 2020

Availability

Expected to ship within 12 - 17 working days

First published

2020

Editors

, , , ,

Dimensions

235 x 155mm (L x W)

Format

Hardcover

Pages

280

Edition

1st ed. 2020

ISBN-13

978-3-03-048148-3

Barcode

9783030481483

Categories

LSN

3-03-048148-4



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