IEEE

A Heuristic Big Data Processing Multi Task Efficient Deployment Method Based on QoS Aware Clustering and Bayesian Classification in Cloud Environment

Abstract: The efficient deployment of Big Data processing tasks in cloud environments is the basic core function of Big Data processing, which refers to the effective deployment of tasks to the ...
eLife

Macroscopic Analyses of RNA-Seq Data to Reveal Chromatin Modifications in Aging and Disease

This valuable study analyzes aging-related chromatin changes through the lens of intra-chromosomal gene correlation length, which is a novel computational metric that captures spatial correlations in ...
Gut

AI-empowered human microbiome research

Recent advances in high-throughput microbiome profiling have generated expansive data sets that offer unprecedented ...
The Lancet

VEXAS syndrome and immune-mediated rheumatic diseases: overlaps in clinical features and mechanisms

Vacuoles, E1 enzyme, X-linked, autoinflammatory, and somatic (VEXAS) syndrome is a newly identified disorder caused by an ...
Scientific Research Publishing

He, M. (2024) Network Anomaly Data Mining and Classification Method Based on Improved K-Means Clustering Algorithm. Wireless Interconnection Technology, 21, 119-122.

ABSTRACT: As a highly contagious respiratory disease, influenza exhibits significant spatiotemporal fluctuations in incidence, posing a persistent threat to public health and placing considerable ...
Mining Weekly

TOMRA Mining launches CONTAIN™: Deep learning classification for inclusion-type ore sorting

CONTAIN™ represents the next breakthrough in AI-powered ore sorting from TOMRA Mining – a deep learning solution purpose-built to classify complex inclusion-type ores with unprecedented accuracy. By ...
Invezz

Bitzero raises $25M to expand clean crypto mining and data centres

Bitzero, the clean energy crypto mining company backed by Shark Tank investor Kevin O’Leary, has raised $25 million to accelerate its growth across North America and Europe. The funds will support the ...
techxplore

Researchers use multidimensional data mining for obstacle avoidance system in autonomous vehicles

A new data-driven technique for obstacle avoidance in autonomous vehicles is reported in the International Journal of Vehicle Design. The approach might overcome many of the longstanding challenges in ...
Frontiers

Educational process mining: literature classification, gaps, and emerging opportunities

1 Graduate Program in Electrical Engineering and Industrial Informatics (CPGEI-CT), Federal University of Technology - Paraná (UTFPR), Curitiba, Brazil 2 Graduate Program in Electrical and Computer ...
C&EN

Reservoir Flow Field Characterization during Water Flooding: A Data Mining and Fuzzy Logic Approach

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Conventional reservoir flow field characterization methods are ...
Forbes

How AI Is Transforming Data Classification

In today's digital landscape, organizations face an unprecedented challenge: managing and protecting ever-growing volumes of data spread across multiple environments. As someone deeply involved in ...