Comparison and analysis of accuracy of various machine learning algorithms in abnormal state monitoring of internet of things devices
Bolun Zhang
Abstract:With the development of Internet of Things technology, more and more devices are connected to the Internet, including not only traditional computers, mobile phones and other smart terminal devices, but also various sensor devices. These sensor devices can collect a variety of environmental information and physical quantities, such as temperature, humidity, air pressure, light intensity, vibration, etc. These data have the characteristics of real-time, scale and diversity, and need to be processed and analyzed … Show more
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