An Efficient and Robust Deep Learning Approach to Predict Air Pollution by Employing Long Short-Term Memory

Author:

Nagineni Srinivas1,Kolli Chandra Sekhar2,Gudimindla Hemachandra3,Sateesh Nayani4,Alagappan Chockalingam5,Pol Urmila R.6,M Siva Ramkumar7

Affiliation:

1. Kakatiya Institute of Technology and Science,Department of Information Technology,Warangal,Telangana,India

2. Aditya College of Engineering and Technology,Department of Information Technology,Surampalem,Andhra Pradesh,India,533291

3. M S Ramaiah Institute of Technology,Department of Electrical and Electronics Engineering,Bengaluru,Karnataka,India,560054

4. CVR College of Engineering, Ibrahimpatnam,Department of Information Technology,Rangareddy,Telangana,India,501510

5. M. Kumarasamy College of Engineering,Department of Electrical and Electronics Engineering,Karur,Tamil Nadu,India,639113

6. Shivaji University,Department of Computer Science,Kolhapur,Maharashtra,India,416004

7. Karpagam Academy of Higher Education,Department of EEE,India

Publisher

IEEE

Cited by 2 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. Systematic Literature Review on Deep Learning Techniques in Electronic Health Records;2023 4th International Conference on Electronics and Sustainable Communication Systems (ICESC);2023-07-06

2. Improvement of a Conflict Prediction Model on Highways using Deep Learning;2023 2nd International Conference on Applied Artificial Intelligence and Computing (ICAAIC);2023-05-04

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