A literature review of recent advances on innovative computational tools for waste management in smart cities

Autores
Nesmachnow, Sergio; Rossit, Diego Gabriel; Moreno-Bernal, Pedro
Año de publicación
2025
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
This article reviews the literature of innovative computational tools for waste management within smart cities. With the rise of urbanization and the increasing challenges of waste management, innovative technologies play a pivotal role in optimizing waste collection, sorting, recycling, and disposal processes. Leveraging computational tools such as artificial intelligence, Internet of Things, and big data analytics, smart waste management systems enable real-time monitoring, predictive modeling, and optimization of waste-related operations. These tools empower authorities to enhance resource efficiency, minimize environmental impact, and improve the overall quality of urban living. Through a comprehensive review of recent research and practical implementations, this article highlights the key features, benefits, and challenges associated with the development of cutting-edge computational tools for waste management. Emerging trends and opportunities for research and development in this rapidly evolving field are identified, emphasizing the importance of integrating technological innovations for building sustainable and resilient waste management in smart cities.
Fil: Nesmachnow, Sergio. Facultad de Ingeniería; Uruguay
Fil: Rossit, Diego Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Matemática Bahía Blanca. Universidad Nacional del Sur. Departamento de Matemática. Instituto de Matemática Bahía Blanca; Argentina. Universidad Nacional del Sur. Departamento de Ingeniería; Argentina
Fil: Moreno-Bernal, Pedro. Universidad Autónoma del Estado de Morelos.; México
Materia
SMART CITIES
WASTE MANAGEMENT
DECISION SUPPORT
COMPUTATIONAL INTELLIGENCE
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/261341
Acceder
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network_name_str CONICET Digital (CONICET)
spelling A literature review of recent advances on innovative computational tools for waste management in smart citiesNesmachnow, SergioRossit, Diego GabrielMoreno-Bernal, PedroSMART CITIESWASTE MANAGEMENTDECISION SUPPORTCOMPUTATIONAL INTELLIGENCEhttps://purl.org/becyt/ford/2.11https://purl.org/becyt/ford/2This article reviews the literature of innovative computational tools for waste management within smart cities. With the rise of urbanization and the increasing challenges of waste management, innovative technologies play a pivotal role in optimizing waste collection, sorting, recycling, and disposal processes. Leveraging computational tools such as artificial intelligence, Internet of Things, and big data analytics, smart waste management systems enable real-time monitoring, predictive modeling, and optimization of waste-related operations. These tools empower authorities to enhance resource efficiency, minimize environmental impact, and improve the overall quality of urban living. Through a comprehensive review of recent research and practical implementations, this article highlights the key features, benefits, and challenges associated with the development of cutting-edge computational tools for waste management. Emerging trends and opportunities for research and development in this rapidly evolving field are identified, emphasizing the importance of integrating technological innovations for building sustainable and resilient waste management in smart cities.Fil: Nesmachnow, Sergio. Facultad de Ingeniería; UruguayFil: Rossit, Diego Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Matemática Bahía Blanca. Universidad Nacional del Sur. Departamento de Matemática. Instituto de Matemática Bahía Blanca; Argentina. Universidad Nacional del Sur. Departamento de Ingeniería; ArgentinaFil: Moreno-Bernal, Pedro. Universidad Autónoma del Estado de Morelos.; MéxicoMultidisciplinary Digital Publishing Institute2025-01-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/261341Nesmachnow, Sergio; Rossit, Diego Gabriel; Moreno-Bernal, Pedro; A literature review of recent advances on innovative computational tools for waste management in smart cities; Multidisciplinary Digital Publishing Institute; Urban Science; 9; 16; 10-1-2025; 1-622413-8851CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/2413-8851/9/1/16info:eu-repo/semantics/altIdentifier/doi/10.3390/urbansci9010016info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T11:54:17Zoai:ri.conicet.gov.ar:11336/261341instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-22 11:54:17.475CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv A literature review of recent advances on innovative computational tools for waste management in smart cities
title A literature review of recent advances on innovative computational tools for waste management in smart cities
spellingShingle A literature review of recent advances on innovative computational tools for waste management in smart cities
Nesmachnow, Sergio
SMART CITIES
WASTE MANAGEMENT
DECISION SUPPORT
COMPUTATIONAL INTELLIGENCE
title_short A literature review of recent advances on innovative computational tools for waste management in smart cities
title_full A literature review of recent advances on innovative computational tools for waste management in smart cities
title_fullStr A literature review of recent advances on innovative computational tools for waste management in smart cities
title_full_unstemmed A literature review of recent advances on innovative computational tools for waste management in smart cities
title_sort A literature review of recent advances on innovative computational tools for waste management in smart cities
dc.creator.none.fl_str_mv Nesmachnow, Sergio
Rossit, Diego Gabriel
Moreno-Bernal, Pedro
author Nesmachnow, Sergio
author_facet Nesmachnow, Sergio
Rossit, Diego Gabriel
Moreno-Bernal, Pedro
author_role author
author2 Rossit, Diego Gabriel
Moreno-Bernal, Pedro
author2_role author
author
dc.subject.none.fl_str_mv SMART CITIES
WASTE MANAGEMENT
DECISION SUPPORT
COMPUTATIONAL INTELLIGENCE
topic SMART CITIES
WASTE MANAGEMENT
DECISION SUPPORT
COMPUTATIONAL INTELLIGENCE
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.11
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv This article reviews the literature of innovative computational tools for waste management within smart cities. With the rise of urbanization and the increasing challenges of waste management, innovative technologies play a pivotal role in optimizing waste collection, sorting, recycling, and disposal processes. Leveraging computational tools such as artificial intelligence, Internet of Things, and big data analytics, smart waste management systems enable real-time monitoring, predictive modeling, and optimization of waste-related operations. These tools empower authorities to enhance resource efficiency, minimize environmental impact, and improve the overall quality of urban living. Through a comprehensive review of recent research and practical implementations, this article highlights the key features, benefits, and challenges associated with the development of cutting-edge computational tools for waste management. Emerging trends and opportunities for research and development in this rapidly evolving field are identified, emphasizing the importance of integrating technological innovations for building sustainable and resilient waste management in smart cities.
Fil: Nesmachnow, Sergio. Facultad de Ingeniería; Uruguay
Fil: Rossit, Diego Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Matemática Bahía Blanca. Universidad Nacional del Sur. Departamento de Matemática. Instituto de Matemática Bahía Blanca; Argentina. Universidad Nacional del Sur. Departamento de Ingeniería; Argentina
Fil: Moreno-Bernal, Pedro. Universidad Autónoma del Estado de Morelos.; México
description This article reviews the literature of innovative computational tools for waste management within smart cities. With the rise of urbanization and the increasing challenges of waste management, innovative technologies play a pivotal role in optimizing waste collection, sorting, recycling, and disposal processes. Leveraging computational tools such as artificial intelligence, Internet of Things, and big data analytics, smart waste management systems enable real-time monitoring, predictive modeling, and optimization of waste-related operations. These tools empower authorities to enhance resource efficiency, minimize environmental impact, and improve the overall quality of urban living. Through a comprehensive review of recent research and practical implementations, this article highlights the key features, benefits, and challenges associated with the development of cutting-edge computational tools for waste management. Emerging trends and opportunities for research and development in this rapidly evolving field are identified, emphasizing the importance of integrating technological innovations for building sustainable and resilient waste management in smart cities.
publishDate 2025
dc.date.none.fl_str_mv 2025-01-10
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/261341
Nesmachnow, Sergio; Rossit, Diego Gabriel; Moreno-Bernal, Pedro; A literature review of recent advances on innovative computational tools for waste management in smart cities; Multidisciplinary Digital Publishing Institute; Urban Science; 9; 16; 10-1-2025; 1-62
2413-8851
CONICET Digital
CONICET
url http://hdl.handle.net/11336/261341
identifier_str_mv Nesmachnow, Sergio; Rossit, Diego Gabriel; Moreno-Bernal, Pedro; A literature review of recent advances on innovative computational tools for waste management in smart cities; Multidisciplinary Digital Publishing Institute; Urban Science; 9; 16; 10-1-2025; 1-62
2413-8851
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/2413-8851/9/1/16
info:eu-repo/semantics/altIdentifier/doi/10.3390/urbansci9010016
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute
publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 12.982451

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