This study focuses on hybrid synchronization, a new synchronization phenomenon in which
one element of the system is synced with another part of the system that is not allowing full …

Using federated learning, which is a distributed machine learning approach, a machine
learning model can train on a distributed data set without having to transfer any data …

We created the equilibrium, which includes sickness outcomes, health and risk behaviors,
environmental factors, and health‐related assets and delivery systems, and it should be …

Computing model may train on a distributed dataset using Medical Applications, which is a
distributed computing technique. Instead of a centralised server, the model trains on device …

Toxoplasmosis is a zoonotic illness caused by Toxoplasma gondii. Those with a normal
immune system normally recover without treatment. Immunocompromised individuals and …

The goal of this project is to write a program in the C++ language that can recognize motions
made by a subject in front of a camera. To do this, in the first place, a sequence of distance …

In some time series, especially financial time series, the high/low frequency sometimes
occurs in short time scale, or for a specific period, the phenomena happen such that not …

This research aims to determine whether the proposed time series model is stable or not. To
achieve this, Ozaki's approximation method was utilized, where the nonlinear part is a …

This paper deals with the analysis of the Gompertz-Fréchet (GoFr) distribution, which
combines the Gompertz family and the Fréchet distribution, where the statistical properties of …

Y− αX 0, where Y and X are the state vectors of the drive and response systems,
respectively, and Wan (α ∓ 1)), the two systems' hybrid synchronization phenomena are …