Optimizing healthcare big data privacy with scalable subtree-based L-Anonymization in cloud environments

A Natarajan, N Shanthi - Wireless Networks, 2025 - Springer
Big data represents a transformative generation with significant packages across diverse
sectors, such as healthcare, public records, and social media. In healthcare, massive …

A cross layer graphical neural network based convolutional neural network framework for image dehazing

M Pavethra, M Uma Devi - Automatika, 2024 - Taylor & Francis
The current version of imaging equipment cannot quickly and effectively make up for the
reduction of visibility triggered by bad weather. Traditional strategies minimize hazy impacts …

Intelligent extraction of salient objects from fuzzy distorted images based on multi-scale convolution

L Lu - The Imaging Science Journal, 2024 - Taylor & Francis
To solve the problem of how to obtain important information from fuzzy distorted images, an
intelligent method for extracting salient objects from fuzzy distorted images based on multi …

Minimum error threshold segmentation method for SAR image based on Rayleigh distribution assumption

Y Lv - The Imaging Science Journal, 2024 - Taylor & Francis
Accurately extracting and segmenting boundaries between targets and backgrounds is
difficult in Synthetic Aperture Radar (SAR) images because of the many scattering …

ASSESSING THE EFFECTS OF CALCIUM CYANIMIDE AND ITS SURVIVAL AND GROWTH OF PATHOGENIC E. coli IN COMPOST DURING THE MESOPHILIC …

CH MADHURAMMA, R KIRUTHIKA… - Oxidation …, 2024 - search.ebscohost.com
This study aims to determine the impact of calcium cyanamide on the growth and viability of
pathogenic Escherichia coli in the mesophilic stage of composting. Analysis of calcium …