Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Prankit Gupta"'
Publikováno v:
Neural Computing and Applications. 32:12351-12362
This paper investigates the utility of unsupervised machine learning and data visualisation for tracking changes in user activity over time. This is done through analysing unlabelled data generated from passive and ambient smart home sensors, such as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::acb752d17fed5dd7e33ec59e451659d5
https://doi.org/10.1007/s00521-020-04737-6
https://doi.org/10.1007/s00521-020-04737-6
Publikováno v:
Intelligent Environments
Internet of Things (IoT) technology and Smart Home (SH) solutions are a growing area of research and development, particularly within health and social care where they have potential to offer information and support for self-management and independen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2249b1a63fd7cdcf14f7eb30d33aa2fd
https://doi.org/10.1109/ie51775.2021.9486621
https://doi.org/10.1109/ie51775.2021.9486621
Autor:
Prankit Gupta, Praminda Caleb-Solly
Publikováno v:
Engineering Applications of Neural Networks ISBN: 9783319982038
EANN
EANN
With the growing popularity of the Internet of Things and connected home products, potential healthcare applications in a smart-home context for assisted living are becoming increasingly apparent. However, challenges in performing real-time human act
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::338b44cee24e673b4ab6eae995fac5bb
https://doi.org/10.1007/978-3-319-98204-5_1
https://doi.org/10.1007/978-3-319-98204-5_1
Publikováno v:
IECON
Energy crisis's due to the depletion of fossil fuel and need of pollution free environment has leaded the world automobile technology to switch over to electrical propulsion system in place of gasoline engine in vehicles. Use of multiphase induction
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f86eebe0e4349ebfab10a0c3aa0f0900
https://doi.org/10.1109/iecon.2017.8217160
https://doi.org/10.1109/iecon.2017.8217160