Computational Intelligence Methodologies Applied to Sustainable Development Goals

1. Auflage 2022
ISBN: 978-3-030-97343-8
Verlag: Springer International Publishing

Buch, Englisch, Band 1036, 294 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 641 g

Reihe: Studies in Computational Intelligence

This 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.

Zielgruppe

Research

Autoren/Hrsg.

Verdegay, José Luis

Cruz, Carlos

Brito, Julio

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Geowissenschaften Umweltwissenschaften Umweltpolitik, Umweltprotokoll
• Sozialwissenschaften Politikwissenschaft Regierungspolitik Umwelt- und Gesundheitspolitik
• Sozialwissenschaften Soziologie | Soziale Arbeit Soziologie Allgemein

Inhaltsverzeichnis

Part 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 forLeak 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 goalprogramming and its application to sustainable development.