A team of researchers has built a new protein sequencing workflow that pairs mirror proteases with deep learning software to read peptide sequences with far greater accuracy than previous methods.

Artificial Intelligence (AI) has become a foundational element of next-generation pattern recognition and image analysis, driving transformative advances ...

Abstract: With the rapid development of electronic warfare technology, numerous complex scenarios involving active compound jamming pose significant challenges to Synthetic Aperture Radar (SAR) ...

ABSTRACT: Image segmentation is a fundamental process in digital image analysis, with applications in object recognition, medical imaging, and computer vision. Traditional segmentation techniques ...

UD's Applied Sensing Laboratory is a center for applied remote sensing research, with a particular focus on the research and development of signal and image processing, computer vision, and pattern ...

ABSTRACT: Clustering is an unsupervised machine learning technique used to organize unlabeled data into groups based on similarity. This paper applies the K-means and Fuzzy C-means clustering ...

AMES, Iowa – Daniel Attinger paused before handing over a photo of a crime scene. “Are you bothered by the sight of blood?” There was good reason for his question: The photo showed blood pooled and ...