Quality-of-Things Based Machine Learning for the MIoT Applications

Author:

Al-Juboori Shaymaa1,Alnuaimi Ah1,Karaadi Amulya1,Mkwawa Is-Haka1,Zhang Jianwu2,Sun Lingfen1

Affiliation:

1. University of Plymouth,School of Engineering, Computing and Mathematics,Plymouth,United Kingdom,PL4 8AA

2. Hangzhou Dianzi University,School of Communication Engineering,Hangzhou,China,310018

Funder

Royal Society

Publisher

IEEE

Reference16 articles.

1. A Quality‐of‐Things model for assessing the Internet‐of‐Things' nonfunctional properties

2. IoT Cloud Based Real Time Automobile Monitoring System

3. Dash-industry-forum/dash.js: A reference client implementation for the playback of MPEG-DASH via javascript and compliant browsers,0

4. Facial recognition system for automatic attendance tracking using an ensemble of deep-learning techniques;venugopal;2021 12th International Conference on Computing Communication and Networking Technologies (ICC-CNT),2021

5. IoT based Face Recognition for Smart Applications using Machine Learning

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