Zobrazeno 1 - 10
of 102
pro vyhledávání: '"Dmitrieva Ekaterina"'
Autor:
Dmitrieva Ekaterina, Balmiki Vinod, Bhardwaj Nitin, Kumar Kaushal, Sharma Achyut, Shruthi CH.M.
Publikováno v:
BIO Web of Conferences, Vol 86, p 01097 (2024)
This empirical research offers important insights from simulated industrial situations as it examines security and privacy in AI-driven Industry 5.0. When responding to security problems, participants' remarkable average reaction time of 14 minutes d
Externí odkaz:
https://doaj.org/article/0681a1d8791e48c695dd8dc5cb4c36fe
Publikováno v:
BIO Web of Conferences, Vol 86, p 01062 (2024)
In line with the Industry 5.0 paradigm, this empirical research offers a data-driven investigation of the revolutionary effects of combining IoT and AI in smart manufacturing. The findings show a notable 1.52% gain in production efficiency, which is
Externí odkaz:
https://doaj.org/article/55c147bbd9ab459094cd5d58d55c374d
Publikováno v:
BIO Web of Conferences, Vol 86, p 01069 (2024)
This paper provides a thorough analysis of the development of artificial intelligence (AI) in the context of Industry 4.0 and the soon-to-be Industry 5.0. Important conclusions come from the data, such as the startling 900% increase in AI application
Externí odkaz:
https://doaj.org/article/7fd57fcf9b0f4882ba09fa2066da870e
Autor:
Dmitrieva Ekaterina, Thakur Gaurav, Kumar Prabhakar Pranav, Prakash Anshika, Vyas Anjali, Prasanna Y. Lakshmi
Publikováno v:
BIO Web of Conferences, Vol 86, p 01096 (2024)
This empirical research evaluated, via experimentation, how Edge Computing and Artificial Intelligence (AI) work together in the context of Industry 5.0. With a high satisfaction rating of 88%, participants in the Edge Computing condition saw an asto
Externí odkaz:
https://doaj.org/article/73a1f20f20784421881842a2d21a5871
Publikováno v:
BIO Web of Conferences, Vol 86, p 01098 (2024)
Using simulation and empirical data analysis, this research examines the efficacy of real-time traffic control in smart cities. Traffic data collected in real time from strategically placed sensors shows that traffic volume was reduced by 8.33% on Ma
Externí odkaz:
https://doaj.org/article/d514a1de669e495f8dc837d2aee0672e
Autor:
Dmitrieva Ekaterina, Singh Digvijay, Kumar Suresh, Sharma Kshama, K Mishra Sudipta, Lavanya G.
Publikováno v:
BIO Web of Conferences, Vol 86, p 01102 (2024)
This paper explores the field of data analytics for dynamic urban operations and provides a systematic analysis of the importance and possible implications of this field. Our investigation indicates significant data volumes in an urban setting that i
Externí odkaz:
https://doaj.org/article/bff33c9f5925463cbc3f60e30054cd84
Autor:
Dmitrieva Ekaterina
Publikováno v:
E3S Web of Conferences, Vol 263, p 04037 (2021)
The subject of the research is to study the impact of modern digital technologies on the organization and management of public utilities within the framework of the concept of “smart HCS”, which ensures optimization of municipal budgets, reducing
Externí odkaz:
https://doaj.org/article/f617a88021bc473db15fefe028dc7364
Publikováno v:
E3S Web of Conferences, Vol 110, p 02144 (2019)
Most of the residential multi-apartment buildings in use in our country do not meet modern regulatory requirements for the level of thermal protection of external enclosing structures. Such buildings require renovation. The objects of the research ar
Externí odkaz:
https://doaj.org/article/780b17f519054b46aa29c8c0773906eb
Autor:
Dmitrieva Ekaterina
Publikováno v:
MATEC Web of Conferences, Vol 251, p 06029 (2018)
Systematization of risks in the field of housing-and-communal services and recommendations on the neutralization of problem zones were offered. The objective is the diagnostics of the situation in the sphere of housing-and-communal services and the i
Externí odkaz:
https://doaj.org/article/974b371fc4a942aeb123d21616a711a3
Autor:
Gashimova, Elina, Temerdashev, Azamat, Perunov, Dmitry, Porkhanov, Vladimir, Polyakov, Igor, Podzhivotov, Alexey, Dmitrieva, Ekaterina
Publikováno v:
In Heliyon 15 October 2024 10(19)