Scientific Research Publishing

A Foundational Protocol for Reproducible Visualization in Multivariate Quantum Data ()

Cristani, C. and Tessera, D. (2026) A Foundational Protocol for Reproducible Visualization in Multivariate Quantum Data. Open Access Library Journal, 13, 1-13. doi: 10.4236/oalib.1114704 .
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 ...
Frontiers

Comparative analysis of machine learning techniques on the BraTS dataset for brain tumor classification

1 Information Statistics Center, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China 2 School of Computer Science and Technology, Hubei Business ...
The Daily Northwestern

Q&A: Outgoing ETHS principal discusses social emotional learning, strengthening school community

Taya Kinzie, the outgoing principal of Evanston Township High School and assistant superintendent of ETHS District 202, said she has always bled blue and orange. Her children, sisters, mother, ...
C&EN

Automated Machine-Learning-Driven Analysis of Microplastics by TGA-FTIR for Enhanced Identification and Quantification

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Microplastics persist as ubiquitous environmental contaminants, and efficient methods ...
C&EN

Open-Source Visual Programming Software for Introducing Principal Component Analysis to the Analytical Curriculum

Principal component analysis (PCA) is one of the most common exploratory data analysis techniques with applications in outlier detection, dimensionality reduction, graphical clustering, and ...
Science Daily

'Democratizing chemical analysis':Chemists use machine learning and robotics to identify chemical compositions from images

Chemists have created a machine learning tool that can identify the chemical composition of dried salt solutions from an image with 99% accuracy. By using robotics to prepare thousands of samples and ...
Frontiers

Integrated multiomics analysis and machine learning refine neutrophil extracellular trap-related molecular subtypes and prognostic models for acute myeloid leukemia

Jiangxi Province Key Laboratory of Immunology and Inflammation, Jiangxi Provincial Clinical Research Center for Laboratory Medicine, Department of Clinical Laboratory, The Second Affiliated Hospital, ...
IEEE

A Method of Kernel Principal Component Analysis and Machine Learning Algorithms for Fault Diagnosis of Power Transformers

Abstract: As one of the most important equipment in the power system, it is of great significance to conduct fault diagnosis research on transformers. Aiming at the problem of difficult selection of ...
KETV Omaha

Omaha principal shifts learning to respond to post-COVID-19 crisis

COVID 19 PANDEMIC CHANGED OUR LIVES. IT TOOK CHILDREN OUT OF THE CLASSROOM AND THAT MOVE IS STILL BEING FELT TODAY. WE’RE TAKING A LOOK AT HOW ONE OMAHA PRINCIPAL IS MAKING A CHANGE IN HELPING ...