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Prediction of High-Resolution Atmospheric CO2 Concentration..:
, In:
Proceedings of the 6th Joint International Conference on Data Science & Management of Data (10th ACM IKDD CODS and 28th COMAD)
,
Pais, Spurthy Maria
;
Bhattacharjee, Shrutilipi
;
Madasamy, Anand Kumar
- p. 243-247 , 2023
Link:
https://dl.acm.org/doi/10.1145/3570991.3571062
RT T1 <cTitle>Proceedings of the 6th Joint International Conference on Data Science & Management of Data (10th ACM IKDD CODS and 28th COMAD)</cTitle>: T1 <Title>Prediction of High-Resolution Atmospheric CO2 Concentration from OCO-2 using Machine Learning</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3571062&Exemplar=1&LAN=DE A1 Pais, Spurthy Maria A1 Bhattacharjee, Shrutilipi A1 Madasamy, Anand Kumar PB ACM YR 2023 K1 High-resolution XCO2 K1 OCO-2 K1 ODIAC K1 Regressors K1 Upscaling K1 Computing methodologies K1 Machine learning K1 Learning paradigms K1 Supervised learning K1 Supervised learning by regression K1 Applied computing K1 Physical sciences and engineering K1 Earth and atmospheric sciences K1 Environmental sciences SP 243 OP 247 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3570991.3571062 DO https://dl.acm.org/doi/10.1145/3570991.3571062 SF ELIB - SuUB Bremen
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