Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Abstract: With the innovative application of machine learning neural networks, the problem of feature extraction and dimensionality reduction in big data processing has received extensive attention, ...

JANESVILLE — SSM Health St. Mary’s Hospital — Janesville and Rock County Public Health this week unveiled a new harm reduction vending machine for the community. “All vending machine supplies are ...

Machine learning models are increasingly applied across scientific disciplines, yet their effectiveness often hinges on heuristic decisions such as data transformations, training strategies, and model ...

1 Rice Research Institute, Guangdong Academy of Agricultural Sciences/Key Laboratory of Genetics and Breeding of High Quality Rice in Southern China (Co-construction by Ministry and Province), ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

Important Note: This project explores quantum-inspired algorithms using classical implementations. All code is research-grade, not production-ready. Hybrid methods combine tensor operations with ...

This study aims to improve survival modeling in head and neck cancer (HNC) by integrating patient-reported outcomes (PROs) using dimensionality reduction techniques. PROs capture symptom severity ...

If you’re learning machine learning with Python, chances are you’ll come across Scikit-learn. Often described as “Machine Learning in Python,” Scikit-learn is one of the most widely used open-source ...