Overview
- Presents the state-of-the-art advances in Intelligent Techniques for efficient use of valuable resources
- Includes an introductory chapter that presents the importance of ICT for enterprises
- Provides solutions for an efficient use of organizational resources for enterprises
Part of the book series: Intelligent Systems Reference Library (ISRL, volume 227)
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Table of contents (10 chapters)
Keywords
About this book
The book aims at presenting a multidisciplinary view meant to illustrate several significant efforts and results about the contribution of information technologies to make available new resources and enable rationally usage the existing ones in the context of the ever-growing trends to use ever more resources. Authors from various countries have been invited to contribute so that a rather broad and balanced image about the current trends and recent results obtained could result. The proposed book addresses methodologies and information technology-based tools and systems designed for the efficient use of diverse resources such as manpower and human knowledge, natural resources including water, raw materials and end of life products, financial assets, datasets, and even cultural goods. The book is organized in ten chapters. It is intended to be insightful for researchers, instructors, and planers from various domains. It can also be used as an auxiliary material for postgraduate studies in applied informatics, business administration, industrial engineering, engineering and management, computer, and digital humanities.
Editors and Affiliations
Bibliographic Information
Book Title: Intelligent Techniques for Efficient Use of Valuable Resources
Book Subtitle: Knowledge and Cultural Resources
Editors: Larisa Ivascu, Lucian-Ionel Cioca, Florin Gheorghe Filip
Series Title: Intelligent Systems Reference Library
DOI: https://doi.org/10.1007/978-3-031-09928-1
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
Hardcover ISBN: 978-3-031-09927-4Published: 02 August 2022
Softcover ISBN: 978-3-031-09930-4Published: 03 August 2023
eBook ISBN: 978-3-031-09928-1Published: 01 August 2022
Series ISSN: 1868-4394
Series E-ISSN: 1868-4408
Edition Number: 1
Number of Pages: XVIII, 172
Number of Illustrations: 10 b/w illustrations, 37 illustrations in colour
Topics: Data Engineering, Computational Intelligence, Artificial Intelligence