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008			220415s2022 sz | s |||| 0|eng d
020			_a9783030973445
024	7		_a10.1007/978-3-030-97344-5 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQ342 _b2022 EB
245	0	0	_aComputational Intelligence Methodologies Applied to Sustainable Development Goals _cedited by José Luis Verdegay, Julio Brito, Carlos Cruz
250			_aFirst edition 2022
264		1	_aCham _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XX, 294 páginas) _b75 ilustraciones, 50 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aStudies in Computational Intelligence _x1860-9503 _v1036
505	0		_aPart 1: Computational Intelligence and SDG -- A review on the role of computational intelligence on sustainability development -- Fuzzy linguistic summaries for human centric analyses of sustainable development goals (SDG) related to technological innovations -- Impact of Human-Computer Interaction in the Global Sustainable Development Goals -- Part 2: Health control models -- Investigating the key parameters affecting sustainable IoT-based marketing -- Applications of computational intelligence in the studies of Covid-19 -- Quantification of ASF introduction risk using OWA operators -- An optimization model for location-allocation of health services under uncertainty -- Computational Intelligence and Tikhonov Regularization with Reduced Dimension Model: Applications in Health, Renewable Energy and Climate Heat Transfer Inverse Problems -- Part 3: Emission control models -- Intelligent collaborative freight distribution to reduce greenhouse gas emissions: a review -- Pressure Sensor Placement for Leak Location in Zones of a WDN -- Forecasting tropospheric ozone concentrations using deep neural networks and wavelets: a case study of a tropical coastal-urban area in Brazil -- Power Curve Estimation of Wind Farms with Imprecise Data by Fuzzy Quadratic Programming -- Effect of the growth of carbon emissions as a function of GDP per capita and its relationship with the SDG in american and european countries: An application of neural networks -- Part 4: Transportation and distribution models -- A fuzzy approach for organizational transportation aligned with the Sustainable Development Goals: health promotion, inequality reduction, and responsible consumption -- A VND to Solve the Bi-objective Tourist Trip Design Problem with Fuzzy Constraints and Reducing CO2 -- A Multi-Objective Solid Transportation Problem in Sustainable Development -- On the Generation of Alternative Solutions for a Perishable Food Distribution Problem -- Solving two-stage multi-objective transportation problem using goal programming and its application to sustainable development.
520			_aThis book presents computational intelligence methodologies and its applications to sustainable development goals. Along 18 chapters prepared by reputed scientists around the world, this book explores and focuses on the impacts produced by the application of artificial intelligence and mainly of computational intelligence, in sustainable development goals and on analysing how particularly computational intelligence can influence the ability to comply in a timely manner with all the sustainable development goals. Specialists from STEM areas will find in this book an attractive showcase of instances and research lines to be explored.
988			_aSpringer_Robotics_2022
650		7	_2embne _aInteligencia artificial _9413115
650		7	_2embne _9405551 _aDesarrollo sostenible
700	1		_aVerdegay, José Luis _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aBrito, Julio _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aCruz, Carlos _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
773	0		_tSpringer Nature eBook
776	0	8	_iPrinted edition: _z9783030973438
776	0	8	_iPrinted edition: _z9783030973452
776	0	8	_iPrinted edition: _z9783030973469
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-97344-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b07/2022 _dz _esc _zSI