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Advanced Intelligent Systems for Sustainable Development (AI2SD’2019) Volume 3 - Advanced Intelligent Systems for Sustainable Development Applied to Environment, Industry and Economy

Advanced Intelligent Systems for Sustainable Development (AI2SD’2019) Volume 3 - Advanced Intelligent Systems for Sustainable Development Applied to Environment, Industry and Economy
Kataloginformation
Feldname Details
Vorliegende Sprache eng
ISBN 978-3-030-36670-4
978-3-030-36672-8
Name Ezziyyani, Mostafa ¬[HerausgeberIn]¬
T I T E L Advanced Intelligent Systems for Sustainable Development (AI2SD’2019)
Zusatz zum Titel Volume 3 - Advanced Intelligent Systems for Sustainable Development Applied to Environment, Industry and Economy
Auflage 1st ed. 2020.
Verlagsort Cham
Cham
Verlag Springer International Publishing
Imprint: Springer
Erscheinungsjahr 2020
2020
2020
Umfang 1 Online-Ressource(XXIII, 779 p. 440 illus., 371 illus. in color.)
Reihe Advances in Intelligent Systems and Computing ; 1104
Titelhinweis Erscheint auch als (Druck-Ausgabe)ISBN: 978-3-030-36670-4
Erscheint auch als (Druck-Ausgabe)ISBN: 978-3-030-36672-8
ISBN ISBN 978-3-030-36671-1
Klassifikation UYQ
TEC009000
006.3
Kurzbeschreibung A Big Data Architecture to Acquire and Preprocess Satellites Datasets -- A DEA-based hybrid framework to evaluate the performance of port container -- A DEVS/MAS-based Framework for Modeling/Simulation of Complex Systems -- A new approach for the management of an industrial waste: A case study -- A Novel Automatic Transformation Method from the Business Value Model to the UML Use Case Diagram -- A Novel Modeling Method of NAND device -- A Review of Research on the Treatment of Metallic Pollution by using a Green Construction Material -- Abrupt climatic changes for the last 13,000 cal years BP using the Ifrah Lake data (Middle atlas, Morocco) -- Analyze and optimization of reverse osmosis desalination system in khenifra -- Assessment of mechanical and thermal performances of a ceramic product incorporating an industrial waste -- Carbon paste electrodes modified with Bismuth film and organic activated carbon for the detection of lead in wastewater.
2. Kurzbeschreibung This book gathers papers from the International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD-2019), held on July 08–11, 2019 in Marrakech, Morocco, which address the environment, industry and economy, and the role of advanced intelligent systems and computing in connection with these three fields. The book includes a host of interesting studies and successful applications regarding the economy and industry, e.g. in Manufacturing, Digital Factories, Smart Supply Chain Management in Industry, Project Management in Industry, Digital Economy, Digital Business, M-commerce, Blockchain and Digital Currencies. In addition, the book highlights work that addresses the environmental aspect, covering topics such as Big Data Analysis & the Internet of Things for Environmental Management, Sensor Networks for Environmental Services, Network Interoperability in Environmental Ecosystems, Wireless Sensors and Cognitive Radio Networks, Environmental Management Computing Systems, Sustainable Mobility Solutions, Remote Sensing Applications, Geo-information & Geophysics. Addressing social, legislative and environmental aspects, the book is intended for all stakeholders in the industrial world. It will be of interest e.g. to customers, helping them improve their profits and economic profitability, and to professionals and fishermen working to evolve and optimize their supply chains, and to improve productivity, in the fiercely competitive I4.0 world. The authors of each chapter report on the state of the art and present the outcomes of their own research, laboratory experiments, and successful applications. The purpose of the book is to combine the idea of advanced intelligent systems with appropriate tools and techniques for modeling, management, and decision support in the fields of the environment, industry and economy. .
SWB-Titel-Idn 1694053644
Signatur Springer E-Book
Bemerkungen Elektronischer Volltext - Campuslizenz
Elektronische Adresse $uhttps://doi.org/10.1007/978-3-030-36671-1
Internetseite / Link Resolving-System
Kataloginformation500304430 Datensatzanfang . Kataloginformation500304430 Seitenanfang .
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