Scientific Research Publishing

Dimensionality Reduction Evaluation for Multivariate Quantum Data ()

Visualization, Dimensionality Reduction, Reproducibility, Stability, Multivariate Quantum Data, Information Retrieval ...
Forbes

Machine Learning Trends For 2026

You're probably a little tired of reading or hearing about AI, right? Well, if that's the case, then you're in the right place because here, we're going to talk about machine learning (ML). Yes, it's ...
IEEE

Multispace Dimensionality Reduction Based on Extreme Learning Machine-Assisted Autoencoder for High-Dimensional Expensive Optimization

Abstract: Faced with high-dimensional expensive optimization problems (HEOPs), existing high-dimensional expensive optimization algorithms (HEOAs) struggle to locate promising areas quickly due to a ...
Janesville Gazette

New 'harm reduction' vending machine placed at SSM-Health St. Mary's

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 ...
KCCI Des Moines

KCCI Investigates: Polk County's harm-reduction vending machine's top item in first six months — Plan B

YEAR. YEAH, WE DO LOVE OUR PASTA. WELL, HARM REDUCTION VENDING MACHINES IN POLK COUNTY ARE BEING USED MORE. KCCI INVESTIGATES HAS BEEN FOLLOWING THE NEED THESE MACHINES ARE ADDRESSING SINCE THEY WERE ...
Frontiers

Estimating rice yield-related traits using machine learning models integrating hyperspectral and texture features

Rapidly estimating multiple trait indicators simultaneously, nondestructively, and with high precision is an important means of accurate diagnosis in modern phenomics. Increasing the accuracy of ...
InfoWorld

AI and machine learning outside of Python

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.
IEEE

Influence of Data Dimensionality Reduction Methods on the Effectiveness of Quantum Machine Learning Models

Abstract: Data dimensionality reduction techniques are often utilized in the implementation of Quantum Machine Learning models to address two significant issues: the constraints of NISQ quantum ...