In the last two decades coastal urban areas have taken steps to better minimize flooding and runoff by creating more ...

From predicting floods in unmeasured wetlands to democratizing NASA’s massive hydrology datasets, AI is transforming how we understand and manage water. New models blend physics with deep learning to ...

Passive sensing via wearable devices and smartphones, combined with machine learning (ML), enables objective, continuous, and noninvasive mental health monitoring. Objective: This study aimed to ...

The U.S. Geologic Survey has revealed a new public tool for forecasting river flows nationwide. The program specializes in river conditions affected by drought. The first drought forecasting tool by ...

The rapid uptake of supervised machine learning (ML) in clinical prediction modelling, particularly for binary outcomes based on tabular data, has sparked debate about its comparative advantage over ...

Abstract: Forecasting rainfall is essential for managing water resources, agriculture, and preventing disasters. In this study, we suggest a machine learning-based rainfall prediction system that ...

Abstract: This paper designs an intelligent prediction model using machine learning technology. By collecting data and extracting features of various parameters of material interface properties (such ...