Multimodal Imputation-Based Multimodal Autoencoder Framework for AQI Classification and Prediction of Indian Cities-Reference-Cited by-同舟云学术

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Multimodal Imputation-Based Multimodal Autoencoder Framework for AQI Classification and Prediction of Indian Cities

Published:2024 Issue: Volume:12 Page:108350-108363
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Srinivasa Rao Routhu¹^ORCID,Rao Kalabarige Lakshmana²^ORCID,Holla M. Raviraja³^ORCID,Kumar Sahu Aditya⁴^ORCID

Affiliation:

1. Department of Computer Science and Engineering, Gandhi Institute of Technology and Management, Visakhapatnam, Andhra Pradesh, India

2. Department of Computer Science and Engineering, GMRIT, AI Research Laboratory, Rajam, India

3. Department of Information and Communication Technology, Manipal Academy of Higher Education (MAHE), Manipal Institute of Technology, Manipal, Karnataka, India

4. Amrita School of Computing, Amrita Vishwa Vidyapeetham, Amaravati, Andhra Pradesh, India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10623158.pdf?arnumber=10623158

Reference39 articles.

1. Assessing the COVID‐19 Impact on Air Quality: A Machine Learning Approach

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