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.
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.
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
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
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