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008			200303s2020 gw | s |||| 0|eng d
020			_a9783030366711
024	7		_a10.1007/978-3-030-36671-1 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQ334 _b2020 EB
245	0	0	_aAdvanced Intelligent Systems for Sustainable Development (AI2SD'2019) : _bVolume 3 - Advanced Intelligent Systems for Sustainable Development Applied to Environment, Industry and Economy _cedited by Mostafa Ezziyyani.
250			_aFirst edition 2020.
264		1	_aCham _bSpringer International Publishing : _bImprint: Springer _c2020.
300			_a1 recurso en línea (XXIII, 779 páginas) _b440 ilustraciones, 371 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aArchivo de texto _bPDF
490	0		_aAdvances in Intelligent Systems and Computing _x2194-5357 _v1104
490	0		_aIntelligent Technologies and Robotics (Springer-42732)
505	0		_aA 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.
520	3		_aThis 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. .
988			_aSpringer_Robotics_31032020
650		7	_2embne _aInteligencia artificial _vCongresos y asambleas _9413115
700	1		_aEzziyyani, Mostafa _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
710	2		_aSpringerLink (Online service)
776	0	8	_iPrinted edition: _z9783030366704
776	0	8	_iPrinted edition: _z9783030366728
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-36671-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b05/2020 _dz _eh _zSI