An IoMT‐Enabled Smart Healthcare Model to Monitor Elderly People Using Machine Learning Technique
The Internet of Medical Things (IoMT) enables digital devices to gather, infer, and broadcast
health data via the cloud platform. The phenomenal growth of the IoMT is fueled by many …
health data via the cloud platform. The phenomenal growth of the IoMT is fueled by many …
[HTML][HTML] Explicit formulae for the peak time of an epidemic from the SIR model. Which approximant to use?
An analytic evaluation of the peak time of a disease allows for the installment of effective
epidemic precautions. Recently, an explicit analytic, approximate expression (MT) for the …
epidemic precautions. Recently, an explicit analytic, approximate expression (MT) for the …
Analyzing sound COVID-19 policy responses in developing countries: the case study of Pakistan
UW Chohan - Studia z Polityki Publicznej, 2022 - ceeol.com
The COVID-19 pandemic has posed significant policy challenges in developing countries,
where operational resources and policy capacity are limited. Yet, some developing countries …
where operational resources and policy capacity are limited. Yet, some developing countries …
[PDF][PDF] A methodology for glaucoma disease detection using deep learning techniques
The advancement of computer technology and the needs of image processing is spreading
in a wide range of applications. There are many techniques in image processing and one of …
in a wide range of applications. There are many techniques in image processing and one of …
[PDF][PDF] Near-Exact Analytical Solution of the Sir-Model for the Precise Temporal Dynamics of Epidemics
M Kröger, R Schlickeiser - 2024 - preprints.org
A near-exact analytical solution of the statistical Susceptible-Infectious-Recovered (SIR)
epidemics model for a constant ratio k0 of infection to recovery rates is derived. The derived …
epidemics model for a constant ratio k0 of infection to recovery rates is derived. The derived …
An SIR Model with Two Kinds of Local Information Based Behavioral Responses in Complex Network
Y Zhang, J Xu, C Gao, G Su, F Yang, S Zhou… - … Conference on Artificial …, 2022 - Springer
This paper proposes a novel Susceptible-Infected-Recovered (SIR) model by introducing
two kinds of local information from Infected node (I) and Recovered node (R). The …
two kinds of local information from Infected node (I) and Recovered node (R). The …
[PDF][PDF] Research Article An IoMT-Enabled Smart Healthcare Model to Monitor Elderly People Using Machine Learning Technique
Research Article An IoMT-Enabled Smart Healthcare Model to Monitor Elderly People
Using Machine Learning Technique Page 1 Research Article An IoMT-Enabled Smart …
Using Machine Learning Technique Page 1 Research Article An IoMT-Enabled Smart …