Abstract: Node localization is a main application of wireless sensor networks. However, the measurement error and noise in a real environment make the positioning of ...

Abstract: Manifold learning algorithms such as the isometric mapping (ISOMAP) algorithm have been widely used in the analysis of hyperspectral images (HSIs), for both visualization and dimension ...

ABSTRACT: In this paper, the Isometric Mapping (ISOMAP) algorithm is applied to recognize oracle bone inscription images. First, the sample set undergoes denoising and size normalization as ...

Introduction: Objective: The tumor, node, and metastases (TNM) system allow physicians to specifically characterize the spread of the head and neck (H&N) to aid in disease assessment, prognosis, and ...

A single-cell sequencing data set has always been a challenge for clustering because of its high dimension and multi-noise points. The traditional K-means algorithm is not suitable for this type of ...

Single-cell transcriptional and epigenomics profiles have been applied in a variety of tissues and diseases for discovering new cell types, differentiation trajectories, and gene regulatory networks.

Machine learning (ML), a branch of artificial intelligence, where machines learn from big data, is at the crest of a technological wave of change sweeping society. Cardiovascular medicine is at the ...