{"title":"通过环境检测进行深度学习","authors":"Junyi Lu, Yu Sun, Fangyan Zhang","doi":"10.5121/csit.2019.91212","DOIUrl":null,"url":null,"abstract":"Many of the urban areas are highly polluted. They are aware of the damage caused by pollution but lack efficient and economical solutions to address it. The purpose of this project is to design a portable pollution sensor that is able to communicate with an online database and allow users to access data through the internet. The algorithm of machine learning is able to create data models to predict future pollution level with existed data values","PeriodicalId":193900,"journal":{"name":"8th International Conference on Natural Language Processing (NLP 2019)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Deep Learning through Environmental Detection\",\"authors\":\"Junyi Lu, Yu Sun, Fangyan Zhang\",\"doi\":\"10.5121/csit.2019.91212\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Many of the urban areas are highly polluted. They are aware of the damage caused by pollution but lack efficient and economical solutions to address it. The purpose of this project is to design a portable pollution sensor that is able to communicate with an online database and allow users to access data through the internet. The algorithm of machine learning is able to create data models to predict future pollution level with existed data values\",\"PeriodicalId\":193900,\"journal\":{\"name\":\"8th International Conference on Natural Language Processing (NLP 2019)\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-09-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"8th International Conference on Natural Language Processing (NLP 2019)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5121/csit.2019.91212\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"8th International Conference on Natural Language Processing (NLP 2019)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5121/csit.2019.91212","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Many of the urban areas are highly polluted. They are aware of the damage caused by pollution but lack efficient and economical solutions to address it. The purpose of this project is to design a portable pollution sensor that is able to communicate with an online database and allow users to access data through the internet. The algorithm of machine learning is able to create data models to predict future pollution level with existed data values
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