Convolutional Neural Network Model Based Human Wearable Smart Ring System: Agent Approach

Autor:	Lokesh B. Bhajantri, Ramesh M. Kagalkar, Pundalik Ranjolekar
Jazyk:	angličtina
Rok vydání:	2021
Předmět:	internet of things agents convolutional neural networks smart ring system agent knowledge base Electrical engineering. Electronics. Nuclear engineering TK1-9971 Telecommunication TK5101-6720
Zdroj:	International Journal of Electronics and Telecommunications, Vol vol. 67, Iss No 4, Pp 673-678 (2021)
Druh dokumentu:	article
ISSN:	2081-8491 2300-1933
DOI:	10.24425/ijet.2021.137861
Popis:	The Internet of Things has a set of smart objects with smart connectivity that assists in monitoring real world environment during emergency situations. It could monitor the various applications of emergency situations such as road accidents, criminal acts including physical assaults, kidnap cases, and other threats to people’s way of life. In this work, the proposed work is to afford real time services to users in emergency situations through Convolutional Neural Networks in terms of efficiency and reliable services. Finally, the proposed work has simulated with respect to the performance parameters of the proposed scheme like the probability of accuracy and processing time.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/9852ceb1e71c49f48ca913784cbc1c01 Zobrazit plný text záznamu View record in DOAJ Plný text ve formátu PDF