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

Background and Purpose— The prediction of long-term outcomes in ischemic stroke patients may be useful in treatment decisions. Machine learning techniques are being increasingly adapted for use 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 ...

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 ...

A generic image detection program that uses Google's Machine Learning library, Tensorflow and a pre-trained Deep Learning Convolutional Neural Network model called Inception. This model has been ...

Automatic train regulation is crucial for improving the efficiency and passenger satisfaction in urban rail transits, and the dynamic passenger flow is a key parameter that guides train regulation ...

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 ...