Industries from retail to finance are using clustering to personalize services, detect fraud, monitor equipment and improve ...

This discovery-driven proteomics study of a pediatric population - including rare diseases - introduces a SNOMED CT-guided ...

Cluster packaging refers to the grouping of multiple beer cans or bottles into a single package unit, typically using shrink ...

The North American vision care market is expected to reach USD 70,760.8 million by 2025 and is projected to grow steadily at a CAGR of 2.8% to reach USD 91,509.4 million by 2035. In 2024, cluster ...

Kaizen rethinks cell segmentation by mimicking brain predictions. Using an iterative machine-learning approach to refine boundaries in crowded microscopy images, it enhances accuracy in tissue studies ...

the K-means clustering algorithm for data processing and analysis, and according to the clustering results of endowment group classification in detail. The study found that it was most appropriate to ...

Using such data to create models identifying students likely to drop out has drawn research ... an analysis of academic performance. We propose a predictive model beyond classification by combining ...

Using the Hubble Space Telescope (HST), astronomers have observed a globular cluster known as NGC 1754 as part of a ...

Teaching AI to explore its surroundings is a bit like teaching a robot to find treasure in a vast maze—it needs to try different paths, but some lead nowhere. In many real-world challenges, like ...

May 8 (Reuters) - In a roughly five-week period this year, the U.S. National Institutes of Health terminated $1.81 billion in medical research funding, according to a new analysis. Between ...

Geraldine Balzer emphasizes the importance of reciprocity and relationality in research with Indigenous communities ...

Podcast: New research outlines ten key design and implementation considerations for ESM studies, helping researchers apply ...