A tool for Emergency Detection with Deep Learning Neural Networks
نویسندگان
چکیده
The ubiquitous presence of sensor networks, control units and detection devices allows for a significant availability of data. The increased computational power also encourages a wider development of deep neural networks that represent data in multiple levels of abstraction. In this contribution we present a tool that process the daily precipitation amount in Tuscany region and the emergency situations reported in web news, in order to detect emergency situations. The results are encouraging and show how machine learning can help in predicting emergency situations and to reduce the impact of critical situations.
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تاریخ انتشار 2016