Natural Disaster Discernment and Vigilance
نویسندگان
چکیده
Natural Disasters like cyclones and Earthquakes have a huge impact on the lives of people, results in damage to infrastructure, lead injuries deaths. IoT Based detection systems are utilized for detecting disasters performing subsequent rescue operations. The challenge with these is that collecting data from sensors might be failed due communication breakages or network congestions. To address this issue, paper has come up an idea implementing Disaster Detection using Convolutional Neural Networks sending SMS people making alert. This aims particularly detect Cyclones Earthquakes. Data sets were collected Kaggle. Network deep learning algorithm takes image as input, assigns weights/biases variety aspects differentiating one another image. Applications work includes disaster preparedness such forecasts, warnings predictions, management relief A comparative study been performed CNN its variants.
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ژورنال
عنوان ژورنال: E3S web of conferences
سال: 2021
ISSN: ['2555-0403', '2267-1242']
DOI: https://doi.org/10.1051/e3sconf/202130901023