Quantifying Uncertainty in Internet of Medical Things and Big-Data Services Using Intelligence and Deep Learning

Quantifying Uncertainty in Internet of Medical Things and Big-Data Services Using Intelligence and Deep Learning

In the cloud-based Internet of Things (IoT) environments, quantifying uncertainty is an important element input to keep the acceptable level of reliability in various configurations. In this paper, we aim to address the pricing model of delivering data over the cloud while taking into consideration...

Full description

Bibliographic Details
Main Authors: Fadi Al-Turjman, Hadi Zahmatkesh, Leonardo Mostarda
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
IoT
cloud
trading model
AI
deep learning
big data
Online Access:https://ieeexplore.ieee.org/document/8778676/

Internet

https://ieeexplore.ieee.org/document/8778676/

Similar Items