Deep Learning-Based quantifications of methane emissions with field applications-Reference-Cited by-同舟云学术

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Deep Learning-Based quantifications of methane emissions with field applications

Published:2024-08 Issue: Volume:132 Page:104018
ISSN:1569-8432
Container-title:International Journal of Applied Earth Observation and Geoinformation
language:en
Short-container-title:International Journal of Applied Earth Observation and Geoinformation

Author:

Jahan Ismot,Mehana Mohamed^ORCID,Matheou Georgios,Viswanathan Hari

Funder

US Department of Energy

Publisher

Elsevier BV

Reference60 articles.

1. Plant Disease Detection using AI based VGG-16 Model;Alatawi;Int. J. Adv. Comput. Sci. Appl.,2022

2. Application of Machine Learning for Calibrating Gas Sensors for Methane Emissions Monitoring;Andrews;Sensors,2023

3. Predicting intraurban PM2.5 concentrations using enhanced machine learning approaches and incorporating human activity patterns;Ashayeri;Environ. Res.,2021

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