Recent advances in machine learning have markedly enhanced the forecasting of groundwater levels, a critical factor in managing dwindling water resources worldwide. The integration of ...

Deep Learning (DL): A subset of machine learning that employs multi-layered neural networks to model high-level abstractions in data.

Hydrological prediction is crucial for water resource management, flood/drought prevention, and climate adaptation. While traditional physics-based ...

While traditional landslide prediction methods often rely solely on rainfall intensity, the new approach integrates various water-related processes with a machine-learning model. By accounting for ...

"A building is only as strong as its foundation" is a common adage to signify the importance of having a stable and solid base to build upon. The type and design of foundation are important for ...

The data lakehouse architecture is leading this change—particularly for machine learning (ML) and advanced analytics—by combining the strengths of both data lakes and data warehouses.

Scientists develop dynamic landslide prediction method using hydrological and machine learning data by Northwestern University edited by Sadie Harley, reviewed by Andrew Zinin Editors' notes ...