New AI method boosts microplastic classification

Recently, a research team from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has developed a ...

Researchers introduce a new tool for more accurate RNA modification detection from nanopore signals

Researchers from the University of Eastern Finland and Aalto University have developed a computational framework called ...
Frontiers

A hybrid framework for enhanced segmentation and classification of colorectal cancer histopathology

Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Vellore, India Introduction: Colorectal cancer (CRC) remains one of the leading causes of cancer-related deaths ...
IEEE

Enhancing Customer Segmentation: A Novel Approach using Machine Learning Algorithms

Abstract: Customer segmentation is needed for every business to survive in the field. Grouping up of customers can be done by finding a similar pattern among customers by analyzing the sales dataset.
IEEE

A Decoupled Segmentation-Classification Strategy Based on Semantic-SAM for Precise Semantic Segmentation in Coal Mine Areas

Abstract: To address complex semantic segmentation in coal mine areas, this study proposes the SAM-SEF (SAM-based Semantic Enhancement Framework). It integrates Semantic-SAM’s zero-shot segmentation ...
ahajournals.org

Claims‐Based Machine Learning Classifier of Modified Rankin Scale in Acute Ischemic Stroke

We developed a classifier to infer acute ischemic stroke severity from Medicare claims using the modified Rankin Scale at discharge. The classifier can be used to improve stroke outcomes research and ...
GitHub

alam025/customer-segmentation-kmeans-clustering

Advanced K-Means clustering system for customer analytics and segmentation using machine learning. Includes RFM analysis, business insights, and actionable marketing strategies. - ...