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GA-FUZZY MODEL FOR EFFICIENT BIOMEDICAL WASTE MANAGEMENT IN URBAN ENVIRONMENTS

by Veerabathran S. Kunal K. Madeshwaren V.

Biowaste

Biomedical waste management is critical for maintaining hospital cleanliness and hygiene, pivotal for public health. It introduces a novel approach utilizing a hybrid genetic algorithm GA–fuzzy inference system FIS for smart city waste management. By integrating a dynamic fuzzy inference engine, the...

Biowaste Genetic Algorithm +3 more
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A review of using deep learning from an ecology perspective to address climate change and air pollution

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Gopi.P et al. View all

Issue 2

Ecological effects of Environmental change

Artificial intelligence techniques that can shatter pattern recognition accuracy records, has recently attracted a lot of attention. With its flexibility and capacity to handle massive and complicated datasets, deep learning has transformed numerous academic domains, including bioinformatics and...

Climate change Environment +4 more
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