Analysis and Forecasting of COVID-19 Pandemic Using ARIMA Model-Reference-Cited by-同舟云学术

Analysis and Forecasting of COVID-19 Pandemic Using ARIMA Model

Published:2023-05-18 Issue: Volume: Page:
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Container-title:2023 3rd International Conference on Advances in Computing, Communication, Embedded and Secure Systems (ACCESS)
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Author:

Singh Soni¹,Mittal Sonam²,Singh Sunaina³

Affiliation:

1. Lovely Professional University,School of Computer Science and Engineering,Department of Computer Science and Engineering,Phagwara,Punjab,India,144411

2. Chitkara University Institute of Engineering & Technology Chitkara University,Punjab,India

3. University of Petroleum and Energy Studies (UPES),Department of Electrical & Electronics School of Engineering,Bidholi, Dehradun,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10199116/10199143/10199278.pdf?arnumber=10199278

Reference19 articles.

1. A deep learning based convolutional neural network model with VGG16 feature extractor for the detection of Alzheimer Disease using MRI scans

2. Deep Learning Models for Image Classification: Comparison and Applications

3. Analysis and Implementation of Microsoft Azure Machine Learning Studio Services with Respect to Machine Learning Algorithms

4. Machine Learning Techniques and Implementation of Different ML Algorithms

5. The Lessons Learned from Current ongoing Pandemic Public Health Crisis of COVID 19 and its Management in India from Various Different Angles, Perspectives and way forward;dharmshaktu;International Journal of Epidemiology,2020

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3. Forecasting Digestive System Diseases in Surabaya Using Autoregressive Integrated Moving Average (ARIMA) Method;2023 1st International Conference on Advanced Engineering and Technologies (ICONNIC);2023-10-14