AI-Powered Earth Vital Sign Monitoring: Enhancing Disaster Prediction with CNN-VGG16 and Random Forest Integration
Keywords:
Earth Vital Signs Monitoring, Environmental Surveillance, Natural Disaster Prediction, CNN-VGG16 Feature Extraction, Random Forest Classification.Abstract
Monitoring earth vital signs is necessary to assess earth health and ensure human safety. The current system uses the Multinomial Naïve Bayes algorithm to detect Earth's vital signals, such as earthquakes,cyclones, floods, and wildfires, through image analysis. The algorithm's premise of feature independence may limit its capacity to capture complex image dataset relationships, despite its
simplicity
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