A Study on AI‐based Waste Management Strategies for the COVID‐19 Pandemic-Reference-Cited by-同舟云学术

A Study on AI‐based Waste Management Strategies for the COVID‐19 Pandemic

Published:2022-03-09 Issue:2 Volume:9 Page:212-226
ISSN:2196-9744
Container-title:ChemBioEng Reviews
language:en
Short-container-title:ChemBioEng Reviews

Author:

Rubab Saddaf¹,Khan Malik M.¹,Uddin Fahim²,Abbas Bangash Yawar¹,Taqvi Syed Ali Ammar²

Affiliation:

1. National University of Sciences and Technology (NUST) 44000 Islamabad Pakistan

2. NED University of Engineering and Technology Department of Chemical Engineering Karachi Pakistan

Publisher

Wiley

Subject

Industrial and Manufacturing Engineering,Filtration and Separation,Process Chemistry and Technology,Biochemistry,Chemical Engineering (miscellaneous),Bioengineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cben.202100044

Reference49 articles.

1. The impact of artificial intelligence and digital style on industry and energy post-COVID-19 pandemic

2. HSSAGA: Designation and scheduling of nurses for taking care of COVID-19 patients using novel method of Hybrid Salp Swarm Algorithm and Genetic Algorithm

3. Presentation of a developed sub-epidemic model for estimation of the COVID-19 pandemic and assessment of travel-related risks in Iran

4. Water sanitation hygiene and waste management for the COVID‐19 virus: interim guidance World Health Organization Geneva2020.

5. Machine Learning for COVID-19 needs global collaboration and data-sharing

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