A comprehensive bibliometric analysis and visualization of smart home research

R Ohlan, A Ohlan - Technological Forecasting and Social Change, 2022 - Elsevier
The smart home penetration rate has grown considerably across the globe. This study
presents a comprehensive bibliometric analysis of the trends and patterns in the general …

The need for smart architecture caused by the impact of COVID-19 upon architecture and city: A systematic literature review

SJ Park, KT Lee, JB Im, JH Kim - Sustainability, 2022 - mdpi.com
The recent pandemic era of COVID-19 has shown social adjustment on a global scale in an
attempt to reduce contamination. In response, academic studies relating to smart …

Mapping a decade of smart homes for the elderly in web of science: A scientometric review in citespace

J Liao, X Cui, H Kim - Buildings, 2023 - mdpi.com
Challenges caused by the care of the ageing population in many countries are becoming
increasingly severe. However, high expenditures on healthcare services and the cost of …

Design and fabrication of a low-cost system for Smart Home Applications

AA Sahrab, HM Marhoon - Journal of Robotics and Control (JRC), 2022 - journal.umy.ac.id
Smart systems and security got impressive attention and development in recent years, which
have been appeared in the terms of smart homes, intelligent security, and the Internet of …

Visualizing the landscape of home IoT research: A bibliometric analysis using VOSviewer

J Wang, HS Kim - Sensors, 2023 - mdpi.com
Currently, the internet of things (IoT) is being widely deployed in home automation systems.
An analysis of bibliometrics is presented in this work that covers articles that were obtained …

IOTA‐Based Mobile Crowd Sensing: Detection of Fake Sensing Using Logit‐Boosted Machine Learning Algorithms

M Hameed, F Yang, MI Ghafoor… - Wireless …, 2022 - Wiley Online Library
In the Internet of Things (IoT) era, the mobile crowd sensing system (MCS) has become
increasingly important. The Internet of Things Auto (IOTA) has evolved rapidly in practically …

TrustSys: Trusted decision making scheme for collaborative artificial intelligence of things

G Rathee, S Garg, G Kaddoum, BJ Choi… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Many IoT-based applications have inherited the artificial intelligence of things (AIoT)
techniques to explore new services and benefits of smart recording and monitoring …

Security perception of IoT devices in smart homes

L Nemec Zlatolas, N Feher, M Hölbl - Journal of Cybersecurity and …, 2022 - mdpi.com
IoT devices are used frequently in smart homes. To better understand how users perceive
the security of IoT devices in their smart homes, a model was developed and tested with …

Machine Learning Approach for Smart Distribution Transformers Load Monitoring and Management System

J Ramesh, S Shahriar, AR Al-Ali, A Osman… - Energies, 2022 - mdpi.com
Distribution transformers are an integral part of the power distribution system network and
emerging smart grids. With the increasing dynamic service requirements of consumers …

Accurate action recommendation for smart home via two-level encoders and commonsense knowledge

H Jeon, J Kim, H Yoon, J Lee, U Kang - Proceedings of the 31st ACM …, 2022 - dl.acm.org
How can we accurately recommend actions for users to control their devices at home?
Action recommendation for smart home has attracted increasing attention due to its potential …