期刊
出版社
IEEE
DOI: 10.1109/ICCE56470.2023.10043406
关键词
Data analysis; Prediction; Machine learning
The goal of this paper is to enable cost-effective IoT system design by removing and integrating redundant IoT sensors through correlation analysis between sensing data collected in a smart home environment. This paper presents data analysis and prediction technology that induces meaningful inference through data correlation analysis between different heterogeneous IoT sensors installed inside a smart home. Through this, we propose an intelligent service model that can be implemented based on machine learning/deep learning in a smart home environment.
The goal of this paper is to enable cost-effective IoT system design by removing and integrating redundant IoT sensors through correlation analysis between sensing data collected in a smart home environment. This paper presents data analysis and prediction technology that induces meaningful inference through data correlation analysis between different heterogeneous IoT sensors installed inside a smart home. Through this, we propose an intelligent service model that can be implemented based on machine learning/deep learning in a smart home environment.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据