Friday, March 5, 2021

DEEP LEARNING THROUGH ENVIRONMENTAL DETECTION

Author :  Junyi Lu

Affiliation :  California State Polytechnic University

Country :  USA

Category :  Computer Science & Information Technology

Volume, Issue, Month, Year :  9, 12, September, 2019

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.

Keyword :  Deep Learning, Environmental detection, Machine Learning, Wireless Network

For More Detailshttps://aircconline.com/csit/papers/vol9/csit91212.pdf

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