Mathematical modeling of the outbreak of COVID-19

AK Sinha, N Namdev, P Shende - Network Modeling Analysis in Health …, 2022 - Springer
The novel coronavirus SARS-Cov-2 is a pandemic condition and poses a massive menace
to health. The governments of different countries and their various prohibitory steps to restrict …

2D finite element estimation of calcium diffusion in Alzheimer's affected neuron

DD Dave, BK Jha - Network Modeling Analysis in Health Informatics and …, 2021 - Springer
The present paper discusses the estimation of calcium ions in presence of calcium binding
buffer, voltage-gated calcium channel (VGCC) and sodium calcium exchanger (NCX) for …

Mathematical model of the tumor cells' population growth

N Namdev, H Jain, AK Sinha - … Modeling Analysis in Health Informatics and …, 2022 - Springer
In medical science, the tumor is a critical situation and the grounds for failing life and places
a significant hurdle on medical. Predicting the extension of tumors has been of matter since …

Mathematical computation of the tumor growth

N Namdev, P Shende, AK Sinha - Network Modeling Analysis in Health …, 2022 - Springer
The tumor is a vital concern in the medical system, and it is one of the causes of losing life
and puts a big load on medical. Describing the tumor staging by analysis is a crucial subject …

A new method for recognizing cytokines based on feature combination and a support vector machine classifier

Z Yang, J Wang, Z Zheng, X Bai - Molecules, 2018 - mdpi.com
Research on cytokine recognition is of great significance in the medical field due to the fact
cytokines benefit the diagnosis and treatment of diseases, but the current methods for …

Prediction of the supportive vaccine type of the covid-19 for public health

N Namdev, AK Sinha - J. Math. Comput. Sci., 2021 - scik.org
The novel corona virus SARS-Cov-2 caused the COVID-19 pandemic and mostly
deteriorated the respiratory system. This paper aims to predict the supportive vaccine type …

Uncertainty Optimization Based Rough Set and its Applications

P Shende, N Namdev, AK Sinha - International Journal of Applied and …, 2023 - Springer
A rough set is a method to approximate the decision classes in the dataset using only a
single attribute set. The boundary region of the rough set finds objects whose precise …

[PDF][PDF] Uncertainty optimization-based rough set for incomplete information systems

AK Sinha, P Shende - Math. Stat., 2022 - academia.edu
Often the information in the surrounding world is incomplete, and such incomplete
information gives rise to uncertainties. Pawlak's rough set model is an approach to …

[PDF][PDF] RESEARCH ON THE DIAGNOSIS OF DISTRIBUTION NETWORK FAULT DATA USING A FAULT PREDICTION MODEL

X Tan, G Ao, W Li - International Journal of Mechatronics and Applied …, 2023 - ijomam.com
To ensure the stable operation of the distribution network, it is necessary to timely predict
and diagnose its faults. In this paper, distribution network faults were briefly analyzed. To …