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

• Published in: RGSA : Revista de Gestão Social e Ambiental Vol. 17; no. 4; pp. e03561 - 20
• Main Authors: Udayakumar, R., Elankavi, R., R. Vimal, V., Sugumar, R.
• Format: Journal Article
• Language: English
• Published: São Paulo Centro Universitário da FEI, Revista RGSA 27.06.2023
• Subjects: Algorithms; Artificial intelligence; Artificial neural networks; Cities; Classification; Deep learning; Developed countries; Genetic algorithms; Interdisciplinary subjects; Internet of Things; Machine learning; Municipal solid waste; Municipal waste management; Neural networks; Object recognition; Optimization techniques; Particle swarm optimization; Smart cities; Solid waste management; Solid wastes; Support vector machines; Sustainability management; Sustainable waste management; Tuning; Waste management; Waste materials

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...