Detection and Prediction of Air Pollution using Machine Learning and Deep Learning Techniques-Reference-Cited by-同舟云学术

Detection and Prediction of Air Pollution using Machine Learning and Deep Learning Techniques

Published:2022-11-04 Issue: Volume: Page:
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Container-title:2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS)
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Author:

Mane Madhuri Vikas¹,Kumar Deepak¹,Agarwal Kamal²

Affiliation:

1. Amity institute of Information Technology, Amity University,Noida,India,201303

2. Howard University,Washington,D.C,USA,20059

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10037246/10037222/10037732.pdf?arnumber=10037732

Reference40 articles.

1. Data Preprocessing: The Techniques for Preparing Clean and Quality Data for Data Analytics Process

2. Air Pollution Forecasting Using a Deep Learning Model Based on 1D Convnets and Bidirectional GRU

3. Using Preprocessing Techniques in Air Quality forecasting with Artificial Neural Networks

4. Univariate Time Series Data Forecasting of AP using LSTM Neural Network;hamami;2020 International Conference on Advancement in Data Science E-learning and Information Systems (ICADEIS),2020

5. Effects of Different Missing Data Imputation Techniques on the Performance of Undiagnosed Diabetes Risk Prediction Models in a Mixed-Ancestry Population of South Africa

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