Data Analysis and Optimization for Engineering and Computing Problems Proceedings of the 3rd EAI International Conference on Computer Science and Engineering and Health Services

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 field...

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Bibliographic Details
Other Authors: Vasant, Pandian (Editor), Litvinchev, Igor (Editor), Marmolejo-Saucedo, Jose Antonio (Editor), Rodriguez-Aguilar, Roman (Editor)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2020, 2020
Edition:1st ed. 2020
Series:EAI/Springer Innovations in Communication and Computing
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Description
Summary: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. Presents the proceedings of The 3rd EAI International Conference on Computer Science: Applications in Engineering and Health Services (COMPSE 2019) titled “Data analysis and optimization approaches for solving Engineering and Computing problems”; Covers innovations and applications of optimization applications within a variety of fields: Pertinent to academics, students, researchers, and professionals in communications engineering, computer science and analytics
Physical Description:XI, 280 p. 130 illus., 96 illus. in color online resource
ISBN:9783030481490