Our recent paper in Expert Systems with Applications, A Probabilistic Machine Learning Framework for daily Extreme Events Forecasting
Forecasting daily extreme events is crucial, particularly amidst the escalating severity of tropical storms and ... Read More
Our recent paper in Water Resources Research, Enhancing Streamflow Prediction in Ungauged Basins Using a Nonlinear Knowledge-Based Framework and Deep Learning
In hydrology, a fundamental task involves enhancing the predictive power of a model in ungagged ... Read More
Our recent paper in Science of The Total Environment, Towards strategic interventions for global food security in 2050
This study aims to explore global food security, focusing on major cereal crops across different ... Read More