Future Air Quality Prediction Using Long Short-Term Memory Based on Hyper Heuristic Multi-Chain Model-Reference-Cited by-同舟云学术

Future Air Quality Prediction Using Long Short-Term Memory Based on Hyper Heuristic Multi-Chain Model

Published:2024 Issue: Volume:12 Page:123678-123693
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Chatterjee Kalyan¹^ORCID,Kumar Samla Suraj²,Kumar Ramagiri Praveen¹^ORCID,Bandyopadhyay Anjan³^ORCID,Swain Sujata³^ORCID,Mallik Saurav⁴,Al-Rasheed Amal⁵^ORCID,Abbas Mohamed⁶,Soufiene Ben Othman⁷^ORCID

Affiliation:

1. Department of Computer Science and Engineering, Nalla Malla Reddy Engineering College, Hyderabad, India

2. Department of Artificial Intelligence and Machine Learning, Nalla Malla Reddy Engineering College, Hyderabad, India

3. School of Computer Science and Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar, India

4. Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA, USA

5. Department of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh, Saudi Arabia

6. Electrical Engineering Department, College of Engineering, King Khalid University, Abha, Saudi Arabia

7. PRINCE Laboratory Research, ISITcom, Hammam Sousse, University of Sousse, Sousse, Tunisia

Funder

Princess Nourah bint Abdulrahman University Researchers Supporting Project number

Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia

Deanship of Research and Graduate Studies at King Khalid University for funding this work through Large Research Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10632157.pdf?arnumber=10632157

Reference41 articles.

1. Air Pollution Prediction in Mass Rallies With a New Temporally-Weighted Sample-Based Multitask Learner

2. Statistical PM2.5 Prediction in an Urban Area Using Vertical Meteorological Factors

3. Revealing Influence of Meteorological Conditions on Air Quality Prediction Using Explainable Deep Learning