[HTML][HTML] Deep learning (CNN, RNN) applications for smart homes: a systematic review

J Yu, A de Antonio, E Villalba-Mora - Computers, 2022 - mdpi.com
In recent years, research on convolutional neural networks (CNN) and recurrent neural
networks (RNN) in deep learning has been actively conducted. In order to provide more …

Deep learning model for home automation and energy reduction in a smart home environment platform

D Popa, F Pop, C Serbanescu, A Castiglione - Neural Computing and …, 2019 - Springer
The target of smart houses and enhanced living environments is to increase the quality of
life further. In this context, more supporting platforms for smart houses were developed …

[HTML][HTML] A systematic content review of artificial intelligence and the internet of things applications in smart home

S Sepasgozar, R Karimi, L Farahzadi, F Moezzi… - Applied Sciences, 2020 - mdpi.com
This article reviewed the state-of-the-art applications of the Internet of things (IoT) technology
applied in homes for making them smart, automated, and digitalized in many respects. The …

[HTML][HTML] Towards energy efficient home automation: a deep learning approach

M Khan, J Seo, D Kim - Sensors, 2020 - mdpi.com
Home Automation Systems (HAS) attracted much attention during the last decade due to the
developments in new wireless technologies, such as Bluetooth 4.0, 5G, WiFi 6, etc. In order …

[HTML][HTML] Deployment of smart home management system at the edge: mechanisms and protocols

JM Batalla, F Gonciarz - Neural Computing and Applications, 2019 - Springer
Due to growing popularity of smart home systems, smart home security is a topic which is
becoming increasingly important. Internet of Things (IoT) devices are obtaining increasing …

Machine learning-integrated IoT-based smart home energy management system

M Syamala, CR Komala, PV Pramila… - … of Research on Deep …, 2023 - igi-global.com
The internet of things (IoT) is an important data source for data science technology,
providing easy trends and patterns identification, enhanced automation, constant …

Leveraging machine learning and big data for smart buildings: A comprehensive survey

B Qolomany, A Al-Fuqaha, A Gupta… - IEEE …, 2019 - ieeexplore.ieee.org
Future buildings will offer new convenience, comfort, and efficiency possibilities to their
residents. Changes will occur to the way people live as technology involves people's lives …

[HTML][HTML] Review on the application of artificial intelligence in smart homes

X Guo, Z Shen, Y Zhang, T Wu - Smart Cities, 2019 - mdpi.com
Smart home and artificial intelligence technologies are developing rapidly, and various
smart home products associated with artificial intelligence (AI) improved the quality of living …

Smart home research themes: An analysis and taxonomy

JF DeFranco, M Kassab - Procedia Computer Science, 2021 - Elsevier
The smart home (SH) concept is built around systems and devices to increase the comfort,
energy efficiency, privacy, and safety of its inhabitants and their data. These technologically …

[HTML][HTML] A review of the recent developments in integrating machine learning models with sensor devices in the smart buildings sector with a view to attaining …

DM Petroșanu, G Căruțașu, NL Căruțașu, A Pîrjan - Energies, 2019 - mdpi.com
Lately, many scientists have focused their research on subjects like smart buildings, sensor
devices, virtual sensing, buildings management, Internet of Things (IoT), artificial intelligence …