Identification and prediction of chronic diseases using machine learning approach
R Alanazi - Journal of Healthcare Engineering, 2022 - Wiley Online Library
Nowadays, humans face various diseases due to the current environmental condition and
their living habits. The identification and prediction of such diseases at their earlier stages …
their living habits. The identification and prediction of such diseases at their earlier stages …
[PDF][PDF] Dynamical analysis of a fractional SIRS model on complex heterogeneous networks
HAA El-Saka, AAM Arafa… - Information …, 2022 - digitalcommons.aaru.edu.jo
In this paper, a fractional SIRS model on heterogeneous complex networks is introduced.
The asymptotic local and global stability of equilibrium points are studied, numerical …
The asymptotic local and global stability of equilibrium points are studied, numerical …
An Efficient Energy Management Routing and Scalable Topology in Wireless Sensor Network Using Virtual Backbone
The wireless sensor network (WSN) approach is one of the fastest growing approaches in
the world of communications and engineering. The primary objective of a WSN is to discover …
the world of communications and engineering. The primary objective of a WSN is to discover …
[PDF][PDF] A successful and ideal randomized orthogonal additive response model
An innovative additive randomized response technique (RRT) has been put forth in this
study. The proposed model's characteristics have been researched. Theoretically, it has …
study. The proposed model's characteristics have been researched. Theoretically, it has …
[PDF][PDF] Journal of Statistics Applications & Probabilit y
An innovative additive randomized response technique (RRT) has been put forth in this
study. The proposed model's characteristics have been researched. Theoretically, it has …
study. The proposed model's characteristics have been researched. Theoretically, it has …