A Review Based on 7 Prediction Analysis to Mitigate the Issues of COVID-19

SK Das, A Sharma - … Optimization Techniques in the Areas of …, 2022 - api.taylorfrancis.com
In the last few years, several types of diseases have been raised due to the COVID-19
pandemic. Initially, it started with a few complications; after that, it has changed frequently …

7 A Prediction Review Based Analysis on to Mitigate the Issues of COVID-19

SK Das, A Sharma - Fuzzy Optimization Techniques in the Areas …, 2022 - books.google.com
In the last few years, several types of diseases have been raised due to the COVID-19
pandemic. Initially, it started with a few complications; after that, it has changed frequently …

Machine LearningBased Data Analysis for Managing Challenges of COVID-19: A Survey

SK Das, J Ghosh - Fuzzy Optimization Techniques in the Areas of …, 2022 - taylorfrancis.com
In the last few years, incidence related to the COVID-19 pandemic has increased frequently;
sometimes it is high, and sometime it is low, based on different variations. There are several …

Machine 9 Based Data Learning-Analysis for Managing Challenges of COVID-19

SK Das, J Ghosh - Fuzzy Optimization Techniques in the Areas …, 2022 - books.google.com
In the last few years, several issues have been created based on the COVID-19 pandemic. It
has spread not only in one particular country but all over the world, based on its different …

Machine Learning Approach for Prediction Analysis of COVID-19

V Garg, K Tripathi, D Sehrawat - Computational Intelligence in …, 2023 - taylorfrancis.com
This scary outbreak severe acute respiratory syndrome–Coronavirus (SARS-CoV-2) also
known as COVID-2019 has put the entire lifeline into danger. The whole world is trying to …

Optimization of COVID-19 Risk Factors Using Fuzzy Logic Inference System

J Gupta, S Saxena, N Kaushal… - … and Analytic Methods in …, 2023 - taylorfrancis.com
According to the WHO, the topmost priority during the COVID-19 pandemic is to recognize
the risk factors for the severity of this disease. Because of this, we conducted a series of …

[HTML][HTML] Fuzzy modelling of clinical and epidemiological factors for COVID-19

M Mangla, N Sharma - 2020 - europepmc.org
During this pandemic outbreak of COVID-19, the whole world is getting severely affected in
respect of population health and economy. This novel virus has brought the whole world …

[Retracted] IoT‐Based Technological Framework for Inhibiting the Spread of COVID‐19: A Pandemic Using Machine Learning and Fuzzy‐Based Processes

A Kaur, MM Elarabawy, M Abd-Elnaby… - Security and …, 2022 - Wiley Online Library
The COVID‐19 infestation has resulted in the loss of the lives of millions of people and the
destruction of commercial, communal, and healthcare systems around the world. To control …

Role of Artificial Intelligence in Forecast Analysis of COVID-19 Outbreak

A Sandhu, KM Sahu - Impact of AI and Data Science in Response to …, 2021 - Springer
AI was initially designed for solving simpler problems like winning a chess game,
recognition of language, image retrieval, etc. With the advancement in technology, AI is …

The prediction analysis of Covid-19 using enhanced deep learning network and improvised optimization algorithms

GK Yenurkar, S Mal - AIP Conference Proceedings, 2023 - pubs.aip.org
To predict the effects, risks, and parameters of current pandemic the Artificial Intelligence
methods have been used. The predictions should be supportive to prevent and control of …