Machine learning model predicts serious transplant complications months before symptoms appear

A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications after stem cell and bone marrow transplants, according to new research ...

AI captures particle accelerator behavior to optimize machine performance

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...
CEOWORLD magazine

Adam Cohen: Nearly Three Decades of Strategic Leadership at PCA Global Ventures

Adam Cohen didn’t build PCA Global Ventures to follow the debt collection industry’s playbook. When he started the company ...
Frontiers

Flood susceptibility mapping in El Niño Phenomenom integrating multitemporal radar analysis, GIS and machine learning techniques, Piura river basin, Peru

Floods represent the most frequent natural hazard, generating significant impacts on people as well as considerable economic and environmental losses worldwide. These events are particularly ...
GitHub

Organize, prepare, classify using PCA, standardization, and normalization, and apply the appropriate machine learning method for the task

There was an error while loading. Please reload this page. In this assessment, we explore a dataset containing 4601 rows and 59 columns, aiming to uncover insights ...
IEEE

A Hybrid Machine Learning-Based Framework for Data Injection Attack Detection in Smart Grids Using PCA and Stacked Autoencoders

Abstract: Cyberattacks, especially data injection attacks, are becoming more common as smart grids are increasingly interconnected. In addition, accurate and unbiased high-quality data is required for ...
IEEE

Optimized Breast Cancer Classification Using PCA-LASSO Feature Selection and Ensemble Learning Strategies With Optuna Optimization

Abstract: Breast cancer is one of the most prevalent and life-threatening diseases among women worldwide, making early and accurate detection crucial for effective treatment. This study presents a ...
Frontiers

Harnessing machine learning to predict prostate cancer survival: a review

The prediction of survival outcomes is a key factor in making decisions for prostate cancer (PCa) treatment. Advances in computer-based technologies have increased the role of machine learning (ML) ...
Scientific Research Publishing

Malhi, A. and Gao, R.X. (2004) PCA-Based Feature Selection Scheme for Machine Defect Classification. IEEE Transactions on Instrumentation and Measurement, 53, 1517-1525.

ABSTRACT: One exciting area within computer vision is classifying human activities, which has diverse applications like medical informatics, human-computer interaction, surveillance, and task ...