Abstract
Neural networks have emerged as a powerful tool in environmental monitoring and analysis, providing valuable insights into complex environmental systems. This article explores the applications of neural networks in environmental monitoring, focusing on areas such as air quality prediction, water quality monitoring, climate change analysis, and biodiversity conservation. By leveraging neural networks, researchers and environmental agencies can analyze vast amounts of environmental data, make accurate predictions, and implement effective policies to protect the environment.
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