An Intelligent Bayesian Optimization with Stacked BiLSTM Model for Air Quality Index Prediction-Reference-Cited by-同舟云学术

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An Intelligent Bayesian Optimization with Stacked BiLSTM Model for Air Quality Index Prediction

Published:2023-08-03 Issue: Volume: Page:
ISSN:
Container-title:2023 5th International Conference on Inventive Research in Computing Applications (ICIRCA)
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Author:

Manikandan K.¹,Rajkumar R.²,Jayanthi P.³,Jothimani S.⁴,Venkatesh R.⁵,Govinda Rao S.⁶

Affiliation:

1. Government College of Engineering,Department of ECE,Thanjavur

2. Rajarajeswari College of Engineering,Department of Computer Science & Engineering,Bangalore,560074

3. Kongu Engineering College,Dept of CSE,Perundurai

4. Bannari Amman Institute of Technology,Computer Science and Engineering,Sathyamangalam,638401

5. Ramco Institute of Technology,Department of CSE

6. GRIET,Department of CSE,Hyderabad

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10220576/10220579/10220650.pdf?arnumber=10220650

Reference19 articles.

1. The optimized GRNN based on the FDS-FOA under the hesitant fuzzy environment and its application in air quality index prediction

2. A Novel One-Dimensional CNN with Exponential Adaptive Gradients for Air Pollution Index Prediction

3. Novel analysis–forecast system based on multi-objective optimization for air quality index

4. Improvement of air quality index prediction using geographically weighted predictor methodology

5. A novel optimal-hybrid model for daily air quality index prediction considering air pollutant factors

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