… the statistical … features from the network layer, transport layer, and data link layer; (ii) to
address the high computational costs of complex features, we propose the statistical feature set …

… smart environment categories of smart homes, smart cars and smart farms; and in applications
of smart health and smart … Smart retail is also one of the major smart application, but due …

… A Markov Model is a statistical model of a dynamic system, which models the system using …
A hidden Markov model is a statistical model in which the underlying data are generated by a …

… The pervasive sensing technologies found in smart homes offer unprecedented opportunities
… collected from participants performing activities in our on-campus smart apartment testbed. …

… outlier detection mechanism to enhance smart environment to conserve power, and make
them efficient. In particular, we propose to use statistical methods to address outlier detection …

… Statistical process monitoring (SPM) is an important component in the long-term reliable …
in the era of smart manufacturing (SM). Previously we proposed statistics pattern analysis (SPA) …

… the layer “Feature extraction”. In this work, temporal and statistical features are used
exclusively as representatives of the signals. Table 2 summarises the seventeen features used. …

… smart environment design planning in the smart cities. Long Short- Term Memory is used to
evaluate air pollution quality prediction in smart … Based on the statistical survey, Long Short- …

… environment as well as to identify anomalies. Thus, the learning and prediction based
paradigm optimizes goal functions of smart home environments … features of smart environments, …

… indoor environment quality (IEQ) in buildings by enhancing physical measurements from a
distributed sensor network with a statistical … healthy and comfortable environment in buildings. …