Air Quality Prediction in Visakhapatnam with LSTM based Recurrent Neural Networks-Reference-Cited by-同舟云学术

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Air Quality Prediction in Visakhapatnam with LSTM based Recurrent Neural Networks

Published:2019-02-08 Issue:2 Volume:11 Page:18-24
ISSN:2074-904X
Container-title:International Journal of Intelligent Systems and Applications
language:
Short-container-title:IJISA

Author:

Rao K Srinivasa, ,Devi G. Lavanya,Ramesh N.

Publisher

MECS Publisher

Subject

Artificial Intelligence,Control and Optimization,Computer Networks and Communications,Computer Science Applications,Human-Computer Interaction,Modeling and Simulation,Signal Processing

Link

http://www.mecs-press.org/ijisa/ijisa-v11-n2/IJISA-V11-N2-3.pdf

Cited by 22 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Prediction of air quality pollutants using artificial intelligence techniques: A review;WOMEN IN PHYSICS: 7th IUPAP International Conference on Women in Physics;2024

2. Spatial-temporal prediction of air quality by deep learning and kriging interpolation approach;ICST Transactions on Scalable Information Systems;2023-08-07

3. Predicting Mumbai's Air Quality Index by Machine Learning;2023 4th International Conference for Emerging Technology (INCET);2023-05-26

4. Air quality prediction for Chengdu based on long short-term memory neural network with improved jellyfish search optimizer;Environmental Science and Pollution Research;2023-04-17

5. Short-Term AQI Forecasts using Machine/Deep Learning Models for San Francisco, CA;2023 IEEE 13th Annual Computing and Communication Workshop and Conference (CCWC);2023-03-08

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