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Title	Ecowaste Framework Leveraging Pso-Cnn For Precise And Sustainable Biomedical Waste Management In Cities
ID_Doc	21720
Authors	Veerabathran S.; Kunal K.; Madeshwaren V.
Year	2025
Published	Global Nest Journal, 27, 1
DOI	http://dx.doi.org/10.30955/gnj.06887
Abstract	Biomedical waste management is essential for mitigating infection risks and environmental contamination arising from healthcare activities. This work integrates a hybrid Particle Swarm Optimization-Convolutional Neural Network (PSO-CNN) model to present a sophisticated framework for biomedical waste management optimization in smart cities. This method greatly increases the accuracy and efficiency of waste classification across seven waste categories by combining adaptive CNN layers with a dynamic PSO algorithm in contrast to traditional methods. An extensive data foundation for urban healthcare environments was provided by the models training and validation on a varied dataset gathered over the course of eight months from top healthcare facilities such as Manipal Hospitals in Bengaluru and AIIMS in Delhi. EcoWaste, an Internet of Things-enabled waste monitoring tool that enables precise and thorough tracking of biomedical waste is at the heart of this framework. It has cloud connectivity real-time data synchronization and machine learning capabilities. The PSO-CNN model minimizes misclassification by utilizing CNNs feature extraction capabilities and PSOs optimization strengths. This results in superior metrics like 95.6% recall, 97.2% accuracy, and 97.5 % precision. The implementation of the system on low-power devices such as the Raspberry Pi 4B illustrates its effectiveness and usefulness. The PSO-CNN model outperforms conventional algorithms according to comparative analysis and provides smart cities looking to improve biomedical waste management and public health with a scalable sustainable and affordable solution. © 2024 Global NEST.
Author Keywords	biomedical waste management; Convolutional Neural Network; ecowaste; IoT; Particle swarm optimization; precision

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