Frontiers

Machine Learning for Hydrological Modeling in Water Resource Management in Data-Scarce Regions

Data is fundamental to hydrological modeling and water resource management; however, it remains a major challenge in many ...
IEEE

Feature Selection in Machine Learning for Wetland Water Level Prediction

Abstract: Water levels in wetlands are crucial for preserving the environment, maintaining biodiversity, controlling floods, and regulating water quality. Effective water level prediction in wetlands ...
IEEE

Machine Learning for Earthquake Emergency Evacuation: Site Selection and Neighborhood Navigation

Abstract: This research is first to introduce a machine learning-based method to enhance the quality and speed of selecting emergency evacuation centers in Tehran, optimizing the use of the city’s ...
Frontiers

Antenatal prediction of small for gestational age at birth based on four birthweight standards using machine learning algorithms

Background: Accurate antenatal prediction of SGA at birth is essential to improve development and delivery of preventative and therapeutic interventions. This study aimed to assess the performance of ...