Machine Learning-Based Outlier Detection in Long-Term Climate Data: Evidence from Burkina Faso’s Synoptic Network

ISSN Print: 2160-0414
ISSN Online: 2160-0422
www.scirp.org/journal/acs
E-mail: acs@scirp.org

Citations

"Machine Learning-Based Outlier Detection in Long-Term Climate Data: Evidence from Burkina Faso’s Synoptic Network"
written by Zamantakonè Guillaume Ki, Wenceslas Somda, Marcel Bawindsom Kébré, Soumaila Gandema, François Dabilgou,
published by Atmospheric and Climate Sciences, Vol.15 No.3, 2025

has been cited by the following article(s):

No relevant information.

[1]	Exploratory data analysis of Burkina Faso’s Raw daily meteorological records (1981–2021): data quality insights and potential outlier screening Environmental Research Communications, 2026 DOI:10.1088/2515-7620/ae68f0