Predicting nitrous oxide contaminants in Cauvery basin using region-based convolutional neural network-Reference-Cited by-同舟云学术

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Predicting nitrous oxide contaminants in Cauvery basin using region-based convolutional neural network

Published:2024-08 Issue: Volume:26 Page:101194
ISSN:2352-801X
Container-title:Groundwater for Sustainable Development
language:en
Short-container-title:Groundwater for Sustainable Development

Author:

Poluru Ravi Kumar,Sundararajan Shanmugam,S Vinodhkumar,Balakrishnan S.,V Sathya,Rajagopal Manikandan^ORCID

Publisher

Elsevier BV

Reference24 articles.

1. Predicting field N2O contaminants from crop residues based on their biochemical composition: a meta-analytical approach;Abalos;Sci. Total Environ.,2022

2. An extreme precipitation event causes a temperate forested drainage network to shift from an N2O source to a sink;Aho;Limnol. Oceanogr.,2022

3. Oxygen micro-nanobubbles for mitigating eutrophication-induced sediment pollution in freshwater bodies;Ali;J. Environ. Manag.,2023

4. A Fuzzy ANP framework for reducing carbon footprint in petroleum industry;Bathrinath,2022

5. Iber, a river dynamics simulation tool;Corestein,2010

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