Computational Modelling and Imaging for SARS-CoV-2 and COVID-19 (eBook, ePUB)

Redaktion: Prabha, S.; Selvaganesan, N.; Kamalanand, K.; Karthikeyan, P.

• Format: ePub

Produktbeschreibung

This book presents new computational techniques and methodologies for the analysis of the clinical, epidemiological and public health aspects of SARS-CoV-2 and COVID-19 pandemic. The book presents the use of soft computing techniques such as machine learning algorithms for analysis of the epidemiological aspects of the SARS-CoV-2.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 160
• Erscheinungstermin: 2. September 2021
• Englisch
• ISBN-13: 9781000439373
• Artikelnr.: 62199330

Autorenporträt

Dr. S. Prabha is an Associate Professor at the Department of Electronics and Communication Engineering, Hindustan Institute of Technology and Science, Chennai, India. Dr. P. Karthikeyan is an Assistant Professor in the Department of Production Technology, Madras Institute of Technology, Anna University, India. Dr. K. Kamalanand is an Assistant Professor at the Department of Instrumentation Engineering, Madras Institute of Technology Campus, Anna University, Chennai, India. Dr. N. Selvaganesan is Professor of Department of Avionics in IIST-Trivandrum.

Inhaltsangabe

1. Artificial Intelligence Based CoVID
19 Detection using Medical Imaging Methods: A Review. 2. Review on Imaging Features for COVID
19. 3. Investigation of COVID
19 Chest X
ray Images using Texture Features
A Comprehensive Approach. 4. Efficient Diagnosis using Chest CT in COVID
19: A Review. 5. Automatic Mask Detection and Social Distance Alerting Based on a Deep Learning Computer Vision Algorithm. 6. Review of Effective Mathematical Modelling of Coronavirus Epidemic and Effect of Drone Disinfection. 7. ANFIS Algorithm based Modeling and Forecasting of the COVID
19 Epidemic: A Case Study in Tamil Nadu, India. 8. Prediction and Analysis of SARS
CoV
2 (COVID
19) Epidemic in India using LSTM Network