Rainfall prediction is fundamental to water resource management, agriculture, disaster mitigation and climate research. Traditional statistical approaches, such as linear regression and time-series ...
Water quality prediction has become pivotal for safeguarding aquatic ecosystems, ensuring public health and optimising management of water resources. Machine learning techniques offer a data‐driven ...
This Research Topic is Volume VI of a series. The previous volumes can be found here: Volume I , Volume II , Volume III , Volume IV , and Volume V ...
Ionospheric delay remains a significant error source in GNSS positioning, particularly for single-frequency users and during periods of enhanced space weather ...
A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...