{"title":"主动灾难探测","authors":"Sreeram K L, Sundharam V M, Bharathwaj G","doi":"10.1109/incet49848.2020.9154174","DOIUrl":null,"url":null,"abstract":"The main concept of this paper is to predict the natural disasters beforehand. With the help of deep learning one can apply statistical models to historical data to predict the future outcomes. With the help of GIS data of tectonic plates and occurred earthquakes we can train a model to predict the future earthquakes and tsunamis. The proposed system helps to predict disasters well in ahead of time which can give suitable time for evacuation and preparation for the disasters.","PeriodicalId":174411,"journal":{"name":"2020 International Conference for Emerging Technology (INCET)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Proactive Disaster Detection\",\"authors\":\"Sreeram K L, Sundharam V M, Bharathwaj G\",\"doi\":\"10.1109/incet49848.2020.9154174\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The main concept of this paper is to predict the natural disasters beforehand. With the help of deep learning one can apply statistical models to historical data to predict the future outcomes. With the help of GIS data of tectonic plates and occurred earthquakes we can train a model to predict the future earthquakes and tsunamis. The proposed system helps to predict disasters well in ahead of time which can give suitable time for evacuation and preparation for the disasters.\",\"PeriodicalId\":174411,\"journal\":{\"name\":\"2020 International Conference for Emerging Technology (INCET)\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 International Conference for Emerging Technology (INCET)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/incet49848.2020.9154174\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference for Emerging Technology (INCET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/incet49848.2020.9154174","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The main concept of this paper is to predict the natural disasters beforehand. With the help of deep learning one can apply statistical models to historical data to predict the future outcomes. With the help of GIS data of tectonic plates and occurred earthquakes we can train a model to predict the future earthquakes and tsunamis. The proposed system helps to predict disasters well in ahead of time which can give suitable time for evacuation and preparation for the disasters.
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