@ARTICLE{Bhajantri_Lokesh_B._Convolutional_2021,
 author={Bhajantri, Lokesh B. and Kagalkar, Ramesh M. and Ranjolekar, Pundalik},
 volume={vol. 67},
 number={No 4},
 journal={International Journal of Electronics and Telecommunications},
 pages={673-678},
 howpublished={online},
 year={2021},
 publisher={Polish Academy of Sciences Committee of Electronics and Telecommunications},
 abstract={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.},
 type={Article},
 title={Convolutional Neural Network Model Based Human Wearable Smart Ring System: Agent Approach},
 URL={http://ochroma.man.poznan.pl/Content/121904/PDF/92_3234_Bhajantri_skl.pdf},
 doi={10.24425/ijet.2021.137861},
 keywords={Internet of Things, Agents, Convolutional Neural Networks, Smart Ring System, Agent Knowledge Base},
}