Zobrazeno 1 - 10
of 13 069
pro vyhledávání: '"Smart home"'
Autor:
ROYET, MARIE-CAROLINE
Publikováno v:
Stratégies. 5/2/2024, Issue 2217, p10-11. 2p.
Publikováno v:
Journal of Research in Interactive Marketing, 2023, Vol. 18, Issue 4, pp. 648-665.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JRIM-05-2023-0140
Publikováno v:
Iranica Journal of Energy and Environment, Vol 15, Iss 3, Pp 255-264 (2024)
The electric energy demand has been increasing, following digitalization and development of urbanization, which has led to functional enhancement of home energy management system (HEMS) and its subsystems. A great amount of the produced electricity i
Externí odkaz:
https://doaj.org/article/ae4e68bbe9314b5f92d96028a2b10f69
Publikováno v:
Iraqi Journal for Computers and Informatics, Vol 50, Iss 1, Pp 54-72 (2024)
With the rapid proliferation of Internet of Things devices in smart homes, the necessity of robust security measures has become clearer than ever. This study aims to apply data analytics to enhance security monitoring within smart home environments.
Externí odkaz:
https://doaj.org/article/312b30d495784d0c9fd1e8693303614d
Publikováno v:
Journal of Universal Computer Science, Vol 30, Iss 4, Pp 502-530 (2024)
Smart home devices are vulnerable to attacks that put their users’ security at risk. Vulnerabilities are discovered very frequently and can expose these devices through unsecured services. Meanwhile, the lack of standardisation in upgrade methods m
Externí odkaz:
https://doaj.org/article/9528887f2e2c448d950e9be17a67d2c1
Autor:
Anik, Sheik Murad Hassan
The smart home era is inevitably arising towards our everyday life. However, the scarcity of publicly available data remains a major hurdle in the domain, limiting people's capability of performing data analysis and their effectiveness in creating sm
Externí odkaz:
https://hdl.handle.net/10919/121124
Autor:
Imane Hammou Ou Ali, Ali Agga, Mohammed Ouassaid, Mohamed Maaroufi, Ali Elrashidi, Hossam Kotb
Publikováno v:
Frontiers in Energy Research, Vol 12 (2024)
The forecasting of home energy consumption is a crucial and challenging topic within the realm of artificial intelligence (AI)-enhanced energy management in smart grids (SGs). The primary goal of this study is to provide accurate energy consumption f
Externí odkaz:
https://doaj.org/article/b56825a710f14ef28762572b4c3f9dbc
Publikováno v:
Advances in Applied Energy, Vol 15, Iss , Pp 100182- (2024)
This paper proposed a user-friendly and adaptive home intelligent agent with self-learning capability for optimal scheduling of smart home energy systems. The intelligent agent autonomously identifies model parameters based on system operation data,
Externí odkaz:
https://doaj.org/article/f1c1fbdf8fda4bd885ab10ed87b58d3e
Autor:
Sheharyar Khan, Zheng Jiangbin, Farhan Ullah, Muhammad Pervez Akhter, Sohrab Khan, Fuad A. Awwad, Emad A.A. Ismail
Publikováno v:
PeerJ Computer Science, Vol 10, p e2211 (2024)
In the distributed computing era, cloud computing has completely changed organizational operations by facilitating simple access to resources. However, the rapid development of the IoT has led to collaborative computing, which raises scalability and
Externí odkaz:
https://doaj.org/article/67e0158d2de9414f81f57f09094aa610
Autor:
Abdulrahman A. Alzhrani, Mohammed Balfaqih, Fadi Alsenani, Mohemmed Alharthi, Ali Alshehri, Zain Balfagih
Publikováno v:
Engineering, Technology & Applied Science Research, Vol 14, Iss 4 (2024)
The Internet of Things (IoT) has been widely employed in the development of smart locker systems over the last decade. However, some of these systems are based on authentication methods which lack flexibility. Such systems did not consider the possib
Externí odkaz:
https://doaj.org/article/e07b326cdab5465c8c4d40784ca3fff7