IEEE

Isolated Microgrids Dominant Modes Prediction Based on Machine Learning

Abstract: This paper employs artificial intelligence and machine learning techniques to predict the dominant oscillation modes in AC microgrids. The dominant modes are highly dependent on the droop ...
Frontiers

Postoperative recurrence prediction model for perianal abscess using machine learning algorithms

This study aimed to develop a machine learning–based model to predict recurrence risk after perianal abscess surgery, thereby supporting personalized follow-up and intervention strategies. Clinical ...
Live Science

Google's breakthrough 'Quantum Echoes' algorithm pushes us closer to useful quantum computing — running 13,000 times faster than on a supercomputer

The new quantum computing algorithm, called "Quantum Echoes," is the first that can be independently verified by running it on another quantum computer. When you purchase through links on our site, we ...
Scientific Research Publishing

Kang, J., Choi, Y.J., Kim, I., Lee, H.S., Kim, H., Baik, S.H., et al. (2021) Lasso-Based Machine Learning Algorithm for Prediction of Lymph Node Metastasis in T1 Colorectal ...

ABSTRACT: Objective: To investigate the expression characteristics, clinical significance, and immune regulatory mechanisms of colony stimulating factor receptor α (CSF2RA) in gastric cancer (GC) ...
Frontiers

Predictive model establishment for forward-head posture disorder in primary-school-aged children based on multiple machine learning algorithms

Forward head posture frequently occurs among primary school children, potentially due to prolonged sedentary behavior associated with academic demands and reduced physical activity. However, existing ...
GitHub

Comparison for other algorithms

Hi @tobias-fritz, I'm the lead developer for skglm and as such am quite itnerested in benchmarking sparse solvers. I was wondering if you had tried to do the same CPU/GPU benchmark for block ...