Investigation into the effect of data reduction in offloadable task for distributed IoT-fog-cloud computing

NE Nwogbaga, R Latip, LS Affendey… - Journal of Cloud …, 2021 - Springer
With the increasing level of IoT applications, computation offloading is now undoubtedly vital
because of the IoT devices limitation of processing capability and energy. Computation …

[Retracted] An Intelligent Collection System of Big Data in Medical and Health Education Based on the Internet of Things

Z Wang - Journal of Healthcare Engineering, 2022 - Wiley Online Library
The Internet of Medical Things has developed rapidly as an important direction in the field of
Internet of Things, especially through the use of the new generation of information …

Teaching Management System and Algorithm Implementation Based on Big Data Fuzzy K‐Means Clustering

S Liu - Mathematical Problems in Engineering, 2022 - Wiley Online Library
In this paper, the clustering algorithm of big data fuzzy K‐means is used to research and
analyze the teaching management system. Since the values of the indicator variables of bad …

Optimization enabled LeNet for big data classification using MapReduce framework on COVID-19 data

BR Patle, VV - Australian Journal of Electrical and Electronics …, 2024 - Taylor & Francis
The big data clustering is a requisite for generating the data in the digitalised globe. The old-
fashioned clustering approaches are not large sized and highly unorganised big data. Thus …

A Machine Learning Approach to Obese-Inflammatory Phenotyping

TM Vargas - 2023 - search.proquest.com
Obesity is the accumulation of an abnormal, or excessive, amount of fat in the body, which
can have negative effects on overall health. This excess accumulation of macronutrients in …