Improved Particle Swarm Optimization with Deep Learning-Based Municipal Solid Waste Management in Smart Cities

Objectives: The Internet of Things (IoT) framework is crucial for improving monitoring applications for smart cities and controlling municipal operations in real time. The most significant issue with applications to smart cities has been the handling of solid waste, which may have negative consequen...

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Vydané v:	RGSA : Revista de Gestão Social e Ambiental Ročník 17; číslo 4; s. e03561 - 20
Hlavní autori:	Udayakumar, R., Elankavi, R., R. Vimal, V., Sugumar, R.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	São Paulo Centro Universitário da FEI, Revista RGSA 27.06.2023
Predmet:	Ability Algorithms Artificial intelligence Artificial neural networks Cities Classification Deep learning Developed countries Function words Genetic algorithms Genetics Hazardous wastes Interdisciplinary subjects Internet Internet of Things Learning Machine learning Management Municipal solid waste Municipal waste management Neural networks Object recognition Optimization Optimization techniques Particle swarm optimization Smart cities Solid waste management Solid wastes Support vector machines Sustainability Sustainability management Sustainable development Sustainable waste management Tempo Tuning Waste management Waste materials Well being
ISSN:	1981-982X, 1981-982X
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