| Title | A Review on Machine Learning Trends, Application and Challenges in Internet of Things |
|---|---|
| ID_Doc | 43998 |
| Authors | Reddy, RR; Mamatha, C; Reddy, RG |
| Title | A Review on Machine Learning Trends, Application and Challenges in Internet of Things |
| Year | 2018 |
| Published | |
| Abstract | The rapid growth of the internet and its connecting devices makes the things connected to the entire world. In these days, the world is running on the internet of things (IoT), with the increased communication capability and most effective way of communication and transmission lines many of things are connected to the internet. The advent and revolution in smart sensor technology attracts many of the users and most of the devices are connected to the internet. Internet connected sensors and devices generate exponential data. Knowingly or unknowingly IoT is generating lots of data. This data is significant in decision making system, but the problem is how to segregate this data for the future analysis purposes. The Internet of Things (IoT) offers engineering teams an innovative way to collect data and observe the status of their products, services and equipment in the field. Machine learning techniques are used to learn from these data to make the device or thing intelligent. For example, using the machine learning identifying the abnormalities from our wearable and taking necessary actions like calling doctor and ambulance automatically when it necessary. |
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