IEEE

Unsupervised Learning for Distributed Downlink Power Allocation in Cell-Free mMIMO Networks

Abstract: Cell-free massive multiple-input multiple-output (CF-mMIMO) surmounts conventional cellular network limitations in terms of coverage, capacity, and interference management. This paper aims ...
Newseria BIZNES

Author Interview 'Machine Learning – Data to Decision' with Sachin Dave

BERKELEY HEIGHTS, NJ, UNITED STATES, October 1, 2025 /EINPresswire.com/ -- Introduction Sachin Dave, Associate Vice President ...
IEEE

Saliency Region Normalization Combined with Contrastive Learning for unsupervised Domain Adaptive Semantic Segmentation

Abstract: By using labeled source domain data to train supervised models, unsupervised domain adapted (UDA) semantic segmentation tries to produce precise predictions in the unlabeled target domain.
Frontiers

The value of unsupervised machine learning algorithms based on CT and MRI for predicting sarcopenia

Objectives: This study aims to investigate the efficacy of unsupervised machine learning algorithms, specifically the Gaussian Mixture Model (GMM), K-means clustering, and Otsu automatic threshold ...