Computational Modelling and Imaging for Sars-Cov-2 and Covid-19

ISBN-13: 9780367695293 / Angielski / Twarda / 2021 / 146 str.

S. Prabha; P. Karthikeyan; K. Kamalanand

Opis

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.

Spis treści

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