Machine learning accelerates analysis of fusion materials

Tungsten's superior performance in extreme environments makes it a leading candidate for plasma-facing components (PFCs) in ...
Opinion

How do different data preprocessing techniques affect performance of machine learning models on prediction tasks?

Artificial intelligence (AI) and machine learning (ML) systems have become central to modern data-driven decision-making. They are now widely applied in fields as diverse as healthcare, finance, ...
EurekAlert!

Machine-learning guides discovery of multi-principal element alloys as electrocatalyst for hydrogen evolution reaction

A “ML-DFT-Experiment” integrated strategy accelerates the design of high-performance multi-principal alloy HER electrocatalysts via machine learning prediction. Density functional theory calculations ...
IEEE

Detection of Mastitis in Cattle Using Machine Learning and Principal Component Analysis

Abstract: Mastitis is a common disease in dairy cows that reduces milk yield and causes economic loss for farmers worldwide. This work proposes an effective machine learning approach for early ...
IEEE

Investigating Principal Component Analysis Impact on the Performance of Machine Learning Classifiers: A Health Informatics Application

Abstract: Principal Components Analysis (PCA) is a popular dimensionality reduction and feature selection technique. It works by swiping non-informative features while retaining those that are still ...
The Herald-Palladium

South Haven High School principal shares her passion for learning

SOUTH HAVEN — From college basketball and military service to classroom teaching and district leadership, South Haven High School principal Amy Cockburn has taken an unconventional path to education.
Frontiers

Integrated bioinformatic analysis and machine learning developed a prognostic model based on mitochondrial function for acute myeloid leukemia

The disease burden of acute myeloid leukemia (AML) continues to pose a significant public health challenge globally. Mitochondria play a critical role in tumor development and progression by ...
Frontiers

Air pollution-related immune gene prognostic signature for hepatocellular carcinoma: network toxicology, machine learning and multi-omics analysis

Air pollution may crosstalk with immune system to promote hepatocellular carcinoma (HCC) development, but its precise mechanisms and prognostic significance remain unclear. This study aims to ...
ascopubs.org

Accuracy of artificial intelligence models integrating machine learning and deep learning in detecting microvascular invasion in liver cancer: A systematic review and meta ...

Donafenib plus TACE with or without PD-(L)1 inhibitors for the treatment of unresectable hepatocellular carcinoma: A multi-center retrospective study. This is an ASCO Meeting Abstract from the 2025 ...