Please use this identifier to cite or link to this item: http://hdl.handle.net/10174/36770

Title: Encouraging Eco-Innovative Urban Development
Authors: Alves, Victor
Fdez-Riverola, Florentino
Ribeiro, Jorge
Neves, José
Vicente, Henrique
Keywords: Smart Cities
Artificial Intelligence
Machine Learning
Digital Transformation
Computational Sustainability
Logic Programming
The Laws of Thermodynamics
Entropy
Issue Date: 2024
Publisher: MDPI
Citation: Alves, V., Fdez-Riverola, F., Ribeiro, J., Neves, J. & Vicente, H., Encouraging Eco-Innovative Urban Development. Algorithms, 17(5): 192, 24 pages, 2024.
Abstract: This article explores the intertwining connections among artificial intelligence, machine learning, digital transformation, and computational sustainability, detailing how these elements jointly empower citizens within a smart city framework. As technological advancement accelerates, smart cities harness these innovations to improve residents’ quality of life. Artificial intelligence and machine learning act as data analysis powerhouses, making urban living more personalized, efficient, and automated, and are pivotal in managing complex urban infrastructures, anticipating societal requirements, and averting potential crises. Digital transformation transforms city operations by weaving digital technology into every facet of urban life, enhancing value delivery to citizens. Computational sustainability, a fundamental goal for smart cities, harnesses artificial intelligence, machine learning, and digital resources to forge more environmentally responsible cities, minimize ecological impact, and nurture sustainable development. The synergy of these technologies empowers residents to make well-informed choices, actively engage in their communities, and adopt sustainable lifestyles. This discussion illuminates the mechanisms and implications of these interconnections for future urban existence, ultimately focusing on empowering citizens in smart cities.
URI: https://www.mdpi.com/1999-4893/17/5/192
http://hdl.handle.net/10174/36770
ISSN: 1999-4893 (electronic)
Type: article
Appears in Collections:LAVQ-REQUIMTE - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica
CQE - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica

Files in This Item:

File Description SizeFormat
2024_ALGORITHMS_2024_RD.pdf194.45 kBAdobe PDFView/Open
FacebookTwitterDeliciousLinkedInDiggGoogle BookmarksMySpaceOrkut
Formato BibTex mendeley Endnote Logotipo do DeGóis 

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

 

Dspace Dspace
DSpace Software, version 1.6.2 Copyright © 2002-2008 MIT and Hewlett-Packard - Feedback
UEvora B-On Curriculum DeGois