Smart Environments

Abstract

The number of connected devices in smart environments keeps increasing exponentially, as well as the data collected by these devices that need to be properly analyzed. The extraction of meaningful information and the correlation of the data from such data is a key factor in the successful implementation in smart environment scenarios. Great progress in technology, which include low-cost and massive computing, hardware, and storage facilitated Machine Learning implementations that hold a vast potential for data analysis and precise predictions made from the past observations for given new measurements. The aim of this Special issue is to gather different contributions that can be used in future smart environment architectures.