Pancreatic cystic lesions are being found more frequently as cross-sectional imaging becomes more common. Their clinical ...

If you’re accustomed to trekking to a coffee shop for your first caffeine shot of the day, the idea of traveling no farther than your own kitchen is probably tempting, not to mention practical, ...

Abstract: This study proposes a PCA-machine learning fusion model to address the inefficiency and subjectivity of traditional pear quality evaluation. A standardized dataset was constructed by ...

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 ...

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

PCA is an important tool for dimensionality reduction in data science and to compute grasp poses for robotic manipulation from point cloud data. PCA can also directly used within a larger machine ...

Transforming a dataset into one with fewer columns is more complicated than it might seem, explains Dr. James McCaffrey of Microsoft Research in this full-code, step-by-step machine learning tutorial.