scholarly journals Open Source Machine Learning Frameworks for Industrial Internet of Things

2020 ◽  
Vol 170 ◽  
pp. 571-577 ◽  
Author(s):  
Asharul Islam Khan ◽  
Ali Al-Badi
Keyword(s):  
Machine Learning ◽  
Internet Of Things ◽  
Open Source ◽  
Industrial Internet Of Things ◽  
Industrial Internet ◽  
Learning Frameworks

Machine Learning-Based Industrial Internet of Things (IIoT) and Its Applications

2021 ◽  
pp. 123-151
Author(s):  
M. Suresh Kumar ◽  
S. Rachel ◽  
M. V. Kaviselvan
Keyword(s):  
Machine Learning ◽  
Internet Of Things ◽  
Industrial Internet Of Things ◽  
Industrial Internet

scholarly journals SPY-BOT: Machine learning-enabled post filtering for Social Network-Integrated Industrial Internet of Things

2021 ◽  
pp. 102588
Author(s):  
Md Arafatur Rahman ◽  
Nafees Zaman ◽  
A. Taufiq Asyhari ◽  
S.M. Nazmus Sadat ◽  
Prashant Pillai ◽  
...  
Keyword(s):  
Machine Learning ◽  
Social Network ◽  
Internet Of Things ◽  
Industrial Internet Of Things ◽  
Industrial Internet

scholarly journals Machine Learning for Massive Industrial Internet of Things

2021 ◽  
Vol 28 (4) ◽  
pp. 81-87
Author(s):  
Hui Zhou ◽  
Changyang She ◽  
Yansha Deng ◽  
Mischa Dohler ◽  
Arumugam Nallanathan
Keyword(s):  
Machine Learning ◽  
Internet Of Things ◽  
Industrial Internet Of Things ◽  
Industrial Internet

Design of industrial internet of things system based on machine learning and artificial intelligence technology

2020 ◽  
pp. 1-11
Author(s):  
Xu Kun ◽  
Zhiliang Wang ◽  
Ziang Zhou ◽  
Wang Qi
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Internet Of Things ◽  
Monitoring System ◽  
Remote Monitoring ◽  
Industrial Equipment ◽  
Industrial Internet Of Things ◽  
Industrial Internet ◽  
Test Platform ◽  
Artificial Intelligence Technology

For industrial production, the traditional manual on-site monitoring method is far from meeting production needs, so it is imperative to establish a remote monitoring system for equipment. Based on machine learning algorithms, this paper combines artificial intelligence technology and Internet of Things technology to build an efficient, fast, and accurate industrial equipment monitoring system. Moreover, in view of the characteristics of the diverse types of equipment, scattered layout, and many parameters in the manufacturing equipment as well as the complexity of the high temperature, high pressure, and chemical environment in which the equipment is located, this study designs and implements a remote monitoring and data analysis system for industrial equipment based on the Internet of Things. In addition, based on the application scenarios of the actual aeronautical weather floating platform test platform, this study combines the platform prototype system to design and implement a set of strong real-time communication test platform based on the Windows operating system. The test results show that the industrial Internet of Things system based on machine learning and artificial intelligence technology constructed in this paper has certain practicality.

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