The aim of this book is to present 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 clearly explains novel computational image processing algorithms for the detection of COVID-19 lesions in lung CT and X-ray images. It explores various computational methods for computerized analysis of the SARS-CoV-2 infection including…mehr
The aim of this book is to present 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 clearly explains novel computational image processing algorithms for the detection of COVID-19 lesions in lung CT and X-ray images. It explores various computational methods for computerized analysis of the SARS-CoV-2 infection including severity assessment. The book provides a detailed description of the algorithms which can potentially aid in mass screening of SARS-CoV-2 infected cases. Finally the book also explains the conventional epidemiological models and machine learning techniques for the prediction of the course of the COVID-19 epidemic. It also provides real life examples through case studies. The book is intended for biomedical engineers, mathematicians, postgraduate students; researchers; medical scientists working on identifying and tracking infectious diseases.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
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
Es gelten unsere Allgemeinen Geschäftsbedingungen: www.buecher.de/agb
Impressum
www.buecher.de ist ein Internetauftritt der buecher.de internetstores GmbH
Geschäftsführung: Monica Sawhney | Roland Kölbl | Günter Hilger
Sitz der Gesellschaft: Batheyer Straße 115 - 117, 58099 Hagen
Postanschrift: Bürgermeister-Wegele-Str. 12, 86167 Augsburg
Amtsgericht Hagen HRB 13257
Steuernummer: 321/5800/1497
USt-IdNr: DE450055826