River flow: New machine learning methods could improve environmental predictions. ScienceDaily . Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2021 / 06 / 210623091247.htm ...

This study presents a theoretical foundation for a hybrid machine-learning model designed for real-time adaptive passenger flow prediction in public transportation systems. By integrating both ...

Accurate airport traffic flow estimation is crucial for the secure and orderly operation of the aviation system. Recent advances in machine learning have achieved promising prediction results in the ...

TensorFlow 2.0, released in October 2019, revamped the framework significantly based on user feedback. The result is a machine learning framework that is easier to work with—for example, by ...

By combining physical simulations and machine learning, this research group realized a high-speed prediction model that guarantees reliability and versatility, while leveraging the strengths of ...

For the graph machine learning model, we highlight similar past patients in the model space to the one being predicted (ie ... The use of a next-generation sequencing-derived machine-learning ...